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5 ways ChatGPT can help you write an essay

ChatGPT  is capable of doing many different things very well. One of the biggest standout features is its ability to compose all sorts of text within seconds, including songs, poems, bedtime stories, and  essays . 

The chatbot's writing abilities are not only fun to experiment with but can help provide assistance with everyday tasks. Whether you are a student, a working professional, or just trying to get stuff done, we constantly take time to compose emails, texts, reports, and more. ChatGPT can help you claim some of that time back by helping you brainstorm and even compose any text you need. 

How to use ChatGPT to write: Code | Excel formulas | Resumes  | Cover letters  

Contrary to popular belief, ChatGPT can do much more than write an essay for you from scratch (which would be considered plagiarism). A more useful way to use the chatbot is to have it guide your writing process. 

Below, we show you how to use ChatGPT for both writing and assisting and include some other helpful writing tips. 

How ChatGPT can help you write an essay

If you are looking to use ChatGPT to support or replace your writing, here are five different techniques to explore. 

It is also worth noting before you get started that other AI chatbots can output the same results as ChatGPT or are even better, depending on your needs. For example,  Copilot , Perplexity , and Gemini also have access to the internet and include footnotes linking back to the original source for all of their responses, making the chatbots solid alternatives if you rather skip out on ChatGPT. 

Also:  The best AI chatbots of 2024: ChatGPT and alternatives

Regardless of which AI chatbot you pick, you can use the tips below to get the most out of your prompts and AI assistance.

1. Use ChatGPT to generate essay ideas

Before you start writing an essay, you need to flesh out the idea. When professors assign essays, they generally give students a prompt that gives them leeway for their own self-expression and analysis. 

As a result, students have the task of finding the angle to approach the essay on their own. If you have written an essay recently, you know that finding the angle is often the trickiest part -- and this is where ChatGPT can help. 

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All you need to do is input the assignment topic, include as much detail as you'd like -- such as what you're thinking about covering -- and let ChatGPT do the rest. For example, based on a paper prompt I had in college, I asked:

Can you help me come up with a topic idea for this assignment, "You will write a research paper or case study on a leadership topic of your choice." I would like it to include Blake and Mouton's Managerial Leadership Grid and possibly a historical figure. 

Within seconds, the chatbot produced a response that provided me with the title of the essay, options of historical figures on which to focus my article, insight into what information I could include in my paper, and specific examples of a case study I could use. 

2. Use the chatbot to create an outline

Once you have a solid topic, it's time to start brainstorming what you actually want to include in the essay. To facilitate the writing process, I always create an outline, including all the different points I want to touch upon in my essay. However, the outline-writing process is usually tedious. 

With ChatGPT, all you have to do is ask it to write the outline for you. 

Using the topic that ChatGPT helped me generate in step one, I asked the chatbot to write me an outline by saying: 

Can you create an outline for a paper, "Examining the Leadership Style of Abraham Lincoln through Blake and Mouton's Managerial Leadership Grid."

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After a few seconds, the chatbot produced a holistic outline divided into seven sections, with three points under each section. 

This outline is thorough and can be condensed for a shorter essay or elaborated on for a longer paper. If you don't like something or want to tweak the outline further, you can do so either manually or with more instructions to ChatGPT. 

If you want ChatGPT to include links and sources throughout, you can ask it to and it will regenerate the answer using its web-browsing feature , further expediting your essay-writing process. 

3. Use ChatGPT to find sources

Now that you know exactly what you want to write, it's time to find reputable sources for your information. If you don't know where to start, you can ask ChatGPT.

All you need to do is ask the AI to find sources for your essay topic. The biggest thing to remember is to include the type of source you want, whether it be web pages, books, PDFs, research, papers, etc. 

Also:   How to make ChatGPT provide sources and citations

The specifics are necessary because when you specify web pages, ChatGPT will activate the web browsing feature and include web links in its article. If you use a very general prompt, however, it will likely default to generating its answer from its database, which isn't up to date. 

For example, I asked the following: 

"Examining the Leadership Style of Abraham Lincoln through Blake and Mouton's Managerial Leadership Grid."

The chatbot outputs links, accessible right at the top of the answer under the drop-down that says "Searched # of sites." Then, within the response, it will answer your prompt conversationally, also including sources with site names and links in parathesis. 

4. Use ChatGPT to write an essay

It is worth noting that if you take the text directly from the chatbot and submit it, your work could be considered plagiarism since it is not your original work. As with any information taken from another source, text generated by an AI should be identified and credited to the chatbot in your work.

In most educational institutions, the penalties for plagiarism are severe, ranging from a failing grade to expulsion from the school. A better use of ChatGPT's writing features would be to create a sample essay to guide your writing. 

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If you still want ChatGPT to create an essay from scratch, enter the topic and the desired length. For example, I input the following text: 

Can you write a five-paragraph essay on the topic, "Examining the Leadership Style of Abraham Lincoln through Blake and Mouton's Managerial Leadership Grid."

Within seconds, the chatbot gave the exact output I required: a coherent, five-paragraph essay on the topic. You could then use that text to guide your own writing. 

At this point, it's worth remembering how tools like ChatGPT work : they put words together in a form that they think is statistically valid, but they don't know if what they are saying is true or accurate. 

As a result, the output you receive might include invented facts, details, or other oddities. The output might be a useful starting point for your own work but don't expect it to be entirely accurate, and always double-check the content. 

5. Use ChatGPT to co-edit your essay

Once you've written your own essay, you can use ChatGPT's advanced writing capabilities to edit the piece for you. 

You can simply tell the chatbot what you want it to edit. For example, I asked ChatGPT to edit our five-paragraph essay for structure and grammar, but other options could have included flow, tone, and more. 

Also:  How to use ChatGPT to make charts and tables

Once you ask the tool to edit your essay, it will prompt you to paste your text into the chatbot. ChatGPT will then output your essay with corrections made. This feature is particularly useful because ChatGPT edits your essay more thoroughly than a basic proofreading tool, as it goes beyond simply checking spelling. 

You can also co-edit with the chatbot, asking it to review a specific paragraph or sentence and rewrite or fix the text for clarity. Personally, I find this feature very helpful. 

6 ways to write better ChatGPT prompts - and get the results you want faster

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AI for Essay Writing — Exploring Top 10 Essay Writers

Table of Contents

Let’s admit it — essay writing is quite a challenging task for students. Especially with the stringent deadlines, conducting research, writing , editing, and addressing to-and-fro reviews — consumes a whole lot of time and often becomes stressful. Therefore, students are always on the lookout for tools that speed up the essay writing process.

And that’s when AI writing tools make their debut! Using the best AI for essay writing makes the lives of students much easier by automatically generating the essay for them.

The rise in the popularity of artificial intelligence technology and deep learning has paved the way for the numerous AI writer tools available today. To help you understand the different types of AI tools and their benefits, we’ve uncovered the features of the top 10 AI essay generators in this article.

Let’s explore the tools and learn how they are transforming the tedious task of essay writing!

What is essay writing?

Essay writing is a part of academic writing that emphasizes formulating an idea or argument. The main objective of academic essay writing is to present a well-reasoned argument or idea. Evidence, analysis, and interpretation are the three major components of essay writing . It should have a logical structure to support the argument or idea of the essay so that it communicates clearly and concisely.

What is an AI essay writer?

AI essay writers is a tool that is designed to help students generate essays using machine learning techniques. They can be used to generate a full essay or generate a few parts of the essay, for example, essay titles, introduction, conclusion, etc.

Why should researchers use AI essay generators?

There are infinite benefits to using AI tools for writing unique essays, especially for researchers or students. Here are a few of them —

1. Saves time

Using best AI for essay writing has its own benefits. Students can take care of the research process while these AI tools write the essays for them. Be it an essay topic or a full-length essay generation, it saves a bunch of students' time.

2. Boosts productivity

Writing is a tedious task especially when you want to write an essay about a novel topic, that writer’s block starts haunting and your productivity gets affected. But, with AI, it’s the other way around and increases productivity by quickly generating the essays for you.

3. Enhances writing skills — Vocabulary and Style

Adopting the best AI essay writing AI tool not only help with creating essays but also help us hone our writing skills by giving proper suggestions about grammar, sentence structure, tone, style, and word choice.

4. Reduces stress

Students often undergo a lot of pressure and stress because of deadlines and submissions. With the best AI essay generator, they help you write essays smarter thereby reducing stress and fear in no time.

5. Facilitates multidisciplinary research

AI essay writing tools foster interdisciplinary study through their ability to scan and combine knowledge from multiple domains. That way, it helps us quickly get a grasp of new subjects or topics without a heavy-lifting process.

6. Cost-effective

Most of the AI essay writing tools have lower pricing and also allow certain discounts for students. So, it is also a cost-effective approach to use AI writing tools.

The Top AI Essay Writing Tools and Their Features

Several AI essay writers are available based on the types of essays one would want to generate. Now, let's quickly understand the top 10 AI writing tools that generate essays within just a few minutes.

1. PerfectEssayWriter.ai

It is one of the best AI for essay writing that not only creates an essay but also comes up with advanced features including plagiarism detection, auto-referencing, and contextual analysis. As a result, it generates coherent essays that are well-researched and properly cited. It is best recommended for creating academic essays and essay outlines.

How does PerfectEssayWriter work?

• Pick the right tool for your purpose — Go with an essay writer if you want to generate a full essay or choose the essay outliner if you want to create just the outline of the essay.
• Enter your specific conditions and preferences. Add essay topic, academic level, essay type, number of pages, and special instructions, if any.
• Click on “generate” and wait for the result
• Once you have the essay generated, you can review, edit, or refine it and then download it.
• Generates a large chunk of data up to 2000 words
• Output is provided within 90 seconds
• Provides a plethora of other tools like Citation generator, grammar checker, thesis statement generator, and more
• Comes with 10+ essay writing templates
• Subscription-based and not a free tool
• Human review is a mandate

2. Essaybot - Personalized AI writing

Essaybot is the product of a reputed online essay-writing service, MyPerfectWords. It is meant to enhance academic essay writing and streamline the tasks of students. Its user friendly website makes it an instant and hassle-free essay generation saving a lot of time and effort for students.

How does Essaybot work?

• Enter the essay title or topic
• Click on “start writing” and wait for it to generate a well-reasoned essay.
• The tools come for free
• No sign-up is required
• 100% unique and High-quality output
• Very limited features that lack advanced functionalities

3. FreeEssayWriter.net

FreeEssayWriter is an organization that provides essay-writing services to students worldwide. It has an AI essay typer tool — that helps you generate essays instantly. What sets this essay typer apart is its initiative to help students with their free essay writer providing the students with a 2-page free essay.

How does FreeEssayWriter.net work?

It works similarly to Essaybot, input the title or the topic of your essay and wait for it to generate the essay. They also have an option to edit and download a free version of the generated essay instantly.

• Provides high-quality essays and is considered to be one of the reliable and trusted sources of information
• Students can improve their writing skills and learn more about essays by referring to their free essay database or sources
• Priority customer support is available 24*7
• The site is not optimized for mobile devices
• The quality of the essay output could still be improved

4. MyEssayWriter

This AI essay writing tool is no exception in terms of generating a high-quality essay. You can generate essays for various topics depending on the background of your research study. Be it academic or non-academic essay writing, this tool comes in handy.

How does MyEssay Writer work?

Add your preferences and then click on generate. It will give you a high-quality and 100% unique essay crafted based on your requirements.

• The tool comes for free — no subscription is required
• Knows for its consistency in the quality and the tone of the essay output
• Also has a paid custom writing service that provides human-written essays
• Might not provide quality output for complex and technical-based keywords or topic

5. College Essay AI

College essay AI stands unique as an ai writing tool as it not only uses an AI-based algorithm to generate essays but it also backs up the output as it is reviewed and approved by a team of professional experts. It is the best AI essay writing tool for college and graduate students where the output adheres to the graduate students' essay writing guidelines.

How does the College Essay AI generator work?

• Input the required information — essay topic, academic level, number of pages, sources, and specific instructions, if any.
• Click on “generate essay” and wait for the output
• Conduct plagiarism and grammar check
• Download the essay
• High-level output for academic essay writing
• Pocket-friendly premium plans
• Doesn’t provide multiple sets of templates
• Not quite suitable for non-academic essay writing

6. Jasper AI

Jasper AI has been the oldest player in the game of AI content writing. Fast forward to now, its features have been magnified with the inception of natural language processing algorithms and that’s how they are helping students write their essays as well. However, Jasper is the best AI tool for non-academic writing projects like content writing or creative writing.

How does Jasper AI work?

• Choose a template — if you are about to write an essay, go with the “document”
• Add your preferences
• Click “compose” and get the output
• Generates the essays instantly
• Provides well-structured output according to the tone and style of your preferences
• Not quite suitable for academic writing essays

7. Textero AI

Textero AI provides a few writing tools for students that facilitate their various academic papers and writing projects. Its essay generator helps you generate ideas for a full-length essay based on the topic and also suggests new topic ideas or thesis statement ideas for your academic assignments.

How does Textero AI work?

• Click on “Essay Generator” located on the LHS (Left-hand Side)
• Input the title and description based on which you want to generate the essay
• Pick the right citation style
• Click “generate” and wait for the output
• It also provides other tools like an outline generator, and summary generator and has an AI research assistant that answers all your questions relevant to the research
• The output is 100% unique and plagiarism and error-free
• Might fail to provide an essay focussed on complex or technical topics

8. Quillbot

Though Quillbot is essentially built for paraphrasing and summarizing tasks. It comes as a rescue when you have to revamp, improvise, or refine your already-composed essay. Its co-writer helps you transform your thoughts and ideas and make them more coherent by rephrasing them. You can easily customize your text based on the customization options available.

How does Quillbot Paraphraser work?

• Import or copy the content
• Click on “Paraphrase” “Summarize” or “Suggest text” based on your requirement
• Make the required customizations and save the document.
• Offers a plethora of tools required for students
• Both free and premium plans are available
• Enhances vocabulary and language skills
• Limited customization options with the free plan
• Only supports the English language

9. SciSpace Paraphraser

SciSpace is the best AI tool that helps you fine-tune your essay. If you feel your essay writing needs AI suggestions to improve the language, vocabulary, writing styles, and tone of your essay, SciSpace is at your rescue. It has more customized options than Quillbot and improves your essay by rephrasing it according to the required or preferred writing style, and tone. This is a very good alternative to Quillbot.

How does SciSpace Paraphrasing work?

• Simply paste the content to the screen
• Choose the length and variation properly
• Select the language
• Click “Paraphrase”
• Has 22 custom tones and all of them are available even on the free plan
• Supports 75+ languages
• Comes with an AI-detection report for English paraphrase output
• Delay in the output

10. ChatGPT

It would be unfair if we talk about AI tools and do not enlist ChatGPT. When it comes to automated essay writing tasks, ChatGPT is not trivial. With proper prompts, you can automate the essay writing process and generate a well-crafted and coherent essay. However, the quality and the accuracy cannot be trusted as the model hallucinates and doesn’t include sources.

How does ChatGPT work?

• Create a prompt based on your requirement
• Ask ChatGPT to write an essay about your topic, specify conditions and preferences
• Click enter and wait for the essay
• Comes for free
• Cannot rely on the output as the model hallucinates
• Lacks the upgraded features that other essay-writing tools have

Concluding!

Writing essays can be a real struggle. But, the inception of the best AI essay-generation tools makes the entire writing process a lot easier and smoother. However, you should be extra vigilant while relying on these tools and consciously use them only as a technological aid. Because over-reliance on these AI tools could diminish student's writing skills and the user can become more gripped by the tools. So, use it wisely without affecting your knowledge and skills.

You can explore the above tools whenever you need any help with essay writing, and reap the benefits of them without compromising on the quality of your writing.

And! If you're stuck exploring multiple research papers or want to conduct a comprehensive literature review , you know which tool to use? Yes, it's SciSpace Literature Review, our AI-powered workspace, which is meant to make your research workflow easier. Plus, it also comes with SciSpace Copilot , our AI research assistant that answers any question that you may have about the research paper.

If you haven't used it yet, you can use it here !

Choosing the best AI for writing long-form essays depends on your requirements. Here are the top 5 tools that help you create long-form and college essays —

1. Free Essay Writer AI

2. College Essay AI

3. My Essay Writer

4. Textero AI

5. Perfect Essay Writer

The Perfect Essay Writer AI and Textero AI are the two best AI essay generators that help you write the best essays.

ChatGPT is not specifically built to assist you with essay writing, however, you can use the tool to create college essays and long-form essays. It’s important to review, fact-check the essay, and refer to the sources properly.

Essaybot is a free AI essay generator tool that helps you create a well-reasoned essay with just a click.

Unless your university permits it, using AI essay generators or writing tools to write your essay can be considered as plagiarism.

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Should I Use ChatGPT to Write My Essays?

Everything high school and college students need to know about using — and not using — ChatGPT for writing essays.

Jessica A. Kent

ChatGPT is one of the most buzzworthy technologies today.

In addition to other generative artificial intelligence (AI) models, it is expected to change the world. In academia, students and professors are preparing for the ways that ChatGPT will shape education, and especially how it will impact a fundamental element of any course: the academic essay.

Students can use ChatGPT to generate full essays based on a few simple prompts. But can AI actually produce high quality work, or is the technology just not there yet to deliver on its promise? Students may also be asking themselves if they should use AI to write their essays for them and what they might be losing out on if they did.

AI is here to stay, and it can either be a help or a hindrance depending on how you use it. Read on to become better informed about what ChatGPT can and can’t do, how to use it responsibly to support your academic assignments, and the benefits of writing your own essays.

What is Generative AI?

Artificial intelligence isn’t a twenty-first century invention. Beginning in the 1950s, data scientists started programming computers to solve problems and understand spoken language. AI’s capabilities grew as computer speeds increased and today we use AI for data analysis, finding patterns, and providing insights on the data it collects.

But why the sudden popularity in recent applications like ChatGPT? This new generation of AI goes further than just data analysis. Instead, generative AI creates new content. It does this by analyzing large amounts of data — GPT-3 was trained on 45 terabytes of data, or a quarter of the Library of Congress — and then generating new content based on the patterns it sees in the original data.

It’s like the predictive text feature on your phone; as you start typing a new message, predictive text makes suggestions of what should come next based on data from past conversations. Similarly, ChatGPT creates new text based on past data. With the right prompts, ChatGPT can write marketing content, code, business forecasts, and even entire academic essays on any subject within seconds.

But is generative AI as revolutionary as people think it is, or is it lacking in real intelligence?

The Drawbacks of Generative AI

It seems simple. You’ve been assigned an essay to write for class. You go to ChatGPT and ask it to write a five-paragraph academic essay on the topic you’ve been assigned. You wait a few seconds and it generates the essay for you!

But ChatGPT is still in its early stages of development, and that essay is likely not as accurate or well-written as you’d expect it to be. Be aware of the drawbacks of having ChatGPT complete your assignments.

It’s not intelligence, it’s statistics

One of the misconceptions about AI is that it has a degree of human intelligence. However, its intelligence is actually statistical analysis, as it can only generate “original” content based on the patterns it sees in already existing data and work.

It “hallucinates”

Generative AI models often provide false information — so much so that there’s a term for it: “AI hallucination.” OpenAI even has a warning on its home screen , saying that “ChatGPT may produce inaccurate information about people, places, or facts.” This may be due to gaps in its data, or because it lacks the ability to verify what it’s generating. 

It doesn’t do research  

If you ask ChatGPT to find and cite sources for you, it will do so, but they could be inaccurate or even made up.

This is because AI doesn’t know how to look for relevant research that can be applied to your thesis. Instead, it generates content based on past content, so if a number of papers cite certain sources, it will generate new content that sounds like it’s a credible source — except it likely may not be.

There are data privacy concerns

When you input your data into a public generative AI model like ChatGPT, where does that data go and who has access to it? 

Prompting ChatGPT with original research should be a cause for concern — especially if you’re inputting study participants’ personal information into the third-party, public application. 

JPMorgan has restricted use of ChatGPT due to privacy concerns, Italy temporarily blocked ChatGPT in March 2023 after a data breach, and Security Intelligence advises that “if [a user’s] notes include sensitive data … it enters the chatbot library. The user no longer has control over the information.”

It is important to be aware of these issues and take steps to ensure that you’re using the technology responsibly and ethically. 

It skirts the plagiarism issue

AI creates content by drawing on a large library of information that’s already been created, but is it plagiarizing? Could there be instances where ChatGPT “borrows” from previous work and places it into your work without citing it? Schools and universities today are wrestling with this question of what’s plagiarism and what’s not when it comes to AI-generated work.

To demonstrate this, one Elon University professor gave his class an assignment: Ask ChatGPT to write an essay for you, and then grade it yourself. 

“Many students expressed shock and dismay upon learning the AI could fabricate bogus information,” he writes, adding that he expected some essays to contain errors, but all of them did. 

His students were disappointed that “major tech companies had pushed out AI technology without ensuring that the general population understands its drawbacks” and were concerned about how many embraced such a flawed tool.

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How to Use AI as a Tool to Support Your Work

As more students are discovering, generative AI models like ChatGPT just aren’t as advanced or intelligent as they may believe. While AI may be a poor option for writing your essay, it can be a great tool to support your work.

Generate ideas for essays

Have ChatGPT help you come up with ideas for essays. For example, input specific prompts, such as, “Please give me five ideas for essays I can write on topics related to WWII,” or “Please give me five ideas for essays I can write comparing characters in twentieth century novels.” Then, use what it provides as a starting point for your original research.

Generate outlines

You can also use ChatGPT to help you create an outline for an essay. Ask it, “Can you create an outline for a five paragraph essay based on the following topic” and it will create an outline with an introduction, body paragraphs, conclusion, and a suggested thesis statement. Then, you can expand upon the outline with your own research and original thought.

Generate titles for your essays

Titles should draw a reader into your essay, yet they’re often hard to get right. Have ChatGPT help you by prompting it with, “Can you suggest five titles that would be good for a college essay about [topic]?”

The Benefits of Writing Your Essays Yourself

Asking a robot to write your essays for you may seem like an easy way to get ahead in your studies or save some time on assignments. But, outsourcing your work to ChatGPT can negatively impact not just your grades, but your ability to communicate and think critically as well. It’s always the best approach to write your essays yourself.

Create your own ideas

Writing an essay yourself means that you’re developing your own thoughts, opinions, and questions about the subject matter, then testing, proving, and defending those thoughts. 

When you complete school and start your career, projects aren’t simply about getting a good grade or checking a box, but can instead affect the company you’re working for — or even impact society. Being able to think for yourself is necessary to create change and not just cross work off your to-do list.

Building a foundation of original thinking and ideas now will help you carve your unique career path in the future.

Develop your critical thinking and analysis skills

In order to test or examine your opinions or questions about a subject matter, you need to analyze a problem or text, and then use your critical thinking skills to determine the argument you want to make to support your thesis. Critical thinking and analysis skills aren’t just necessary in school — they’re skills you’ll apply throughout your career and your life.

Improve your research skills

Writing your own essays will train you in how to conduct research, including where to find sources, how to determine if they’re credible, and their relevance in supporting or refuting your argument. Knowing how to do research is another key skill required throughout a wide variety of professional fields.

Learn to be a great communicator

Writing an essay involves communicating an idea clearly to your audience, structuring an argument that a reader can follow, and making a conclusion that challenges them to think differently about a subject. Effective and clear communication is necessary in every industry.

Be impacted by what you’re learning about : 

Engaging with the topic, conducting your own research, and developing original arguments allows you to really learn about a subject you may not have encountered before. Maybe a simple essay assignment around a work of literature, historical time period, or scientific study will spark a passion that can lead you to a new major or career.

Resources to Improve Your Essay Writing Skills

While there are many rewards to writing your essays yourself, the act of writing an essay can still be challenging, and the process may come easier for some students than others. But essay writing is a skill that you can hone, and students at Harvard Summer School have access to a number of on-campus and online resources to assist them.

Students can start with the Harvard Summer School Writing Center , where writing tutors can offer you help and guidance on any writing assignment in one-on-one meetings. Tutors can help you strengthen your argument, clarify your ideas, improve the essay’s structure, and lead you through revisions. 

The Harvard libraries are a great place to conduct your research, and its librarians can help you define your essay topic, plan and execute a research strategy, and locate sources. 

Finally, review the “ The Harvard Guide to Using Sources ,” which can guide you on what to cite in your essay and how to do it. Be sure to review the “Tips For Avoiding Plagiarism” on the “ Resources to Support Academic Integrity ” webpage as well to help ensure your success.

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The Future of AI in the Classroom

ChatGPT and other generative AI models are here to stay, so it’s worthwhile to learn how you can leverage the technology responsibly and wisely so that it can be a tool to support your academic pursuits. However, nothing can replace the experience and achievement gained from communicating your own ideas and research in your own academic essays.

About the Author

Jessica A. Kent is a freelance writer based in Boston, Mass. and a Harvard Extension School alum. Her digital marketing content has been featured on Fast Company, Forbes, Nasdaq, and other industry websites; her essays and short stories have been featured in North American Review, Emerson Review, Writer’s Bone, and others.

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How to Write an Essay Using AI

Artificial intelligence has progressed to the point where AI tools can now assist with writing everything from essays and articles to books. AI writing assistants act as an editor, wordsmith or even creator to help students, academics, bloggers and authors produce better quality content with greater efficiency.

In this comprehensive guide, we’ll overview everything you need to know to get started writing essays with AI including:

• How AI essay writing assistants work
• The top apps and sites providing AI writing help
• What types of essay writing they can help with
• Templates and examples for getting started
• Capabilities and limitations to be aware of
• Tips to incorporate AI writing effectively in your workflow

Let’s dive in to harnessing this transformative technology for your next essay!

How Does AI Help With Writing Essays?

AI applications approach essay writing assistance in a few key ways:

• Brainstorming - AI can provide relevant ideas, concepts, perspectives and arguments around a topic to include as evidence.
• Outlining - The best tools create organized essay outlines ensuring logical flow and structure.
• Drafting - Apps can generate complete multi-paragraph drafts on a topic which writers can then edit.
• Editing - Most offer grammar, spelling, style and even depth of analysis checks to improve drafts.
• Paraphrasing - This helps rewrite existing text or source information in your own words.
• Citing sources - Some apps automatically cite sources and generate bibliographies properly formatted.

The level of actual writing versus enhancing human writing varies across solutions, so research thoroughly to find your best match.

Top 5 AI Essay Writing Assistants

After evaluating dozens of writing apps, these 5 provide the best results for essay creation specifically:

Just Think AI

An AI chat with A Human Touch . Enhance your productivity with Just Think Chat, a user-friendly AI chatbot. Overcome writers block, generate ideas, revise content, or get answer effortlessly.

Article Forge

Article Forge has a strong academic focus, with an Essay mode specifically for crafting logical arguments and persuasive essays filled with cited facts. Ideal for research paper help.

Rytr boasts specialized intelligence for writing clear, compelling arguments in blogs, essays and more. It asks probing questions then incorporates your answers into drafts.

INK Associate

INK Associate enhances your writing productivity by suggesting ways to improve clarity, concision and comprehension. Great for proofreading and editing.

GPT-3 Essay Writer

Tools harnessing OpenAI's GPT-3 like Essay Writer create remarkably human-like essays. Requires more guidance to stay on-topic.

Essay Types AI Can Assist With

Some apps are specialized for specific types of essays required in academia and standardized testing. Here are key genres supported:

Argumentative Essays

Arguing a position with logic and evidence cited. Tools help craft sound premises, counterarguments and impactful conclusions.

Persuasive Essays

Similar to argumentative but specifically aimed at swaying the reader regarding policies, interpretations, theories or actions.

Compare and Contrast

Analyzing the similarities and differences between concepts, works or phenomena. Tools ensure clear links are made.

Research Papers

Long form essays synthesizing research around a thesis. AI helps format like academic papers with citations and bibliographies.

Narrative Essays

Telling an entertaining or impactful personal story. Apps assist with structures that emotionally resonate with readers.

Scholarship Essays

Presenting your background, accomplishments and goals in the best possible light. AI ensures relevance to prompt.

Essay Writing Templates and Examples

When first utilizing an AI writing assistant, it's helpful to have templates and examples to base your prompt off.

Here are prompts for common academic essay types you can customize:

Argumentative Essay

Topic: {Topic to argue}

Length: {Word count}

Words Style: Academic argumentative essay

Arguments for: {2-3 strongest arguments}

Arguments against: {The main counterargument}

Conclusion: {Your position} is the better policy because {reasons}.

For example:

Topic: All students should be required to learn coding Length: 800 words Style: Academic argumentative essay Arguments for: Coding teaches logical thinking, prepares for most careers, provides problem solving skills Arguments against: Adds additional schoolwork burden, benefits small subset of students   Conclusion: Mandatory coding classes are the better policy because the skills help nearly all future career paths.

Persuasive Essay

Audience: {Teacher, peer students, university alumni, etc} Thesis: Convince the audience that {position, interpretation, action} is {superior, correct, moral, just, etc} because {2-3 strongest reasons}

Supporting evidence: {facts, expert opinions, personal anecdotes} Counterarguments to address: {The main opposition position}

Style: {Formal or casual} persuasive essay

Audience: School principal Thesis: Convince the principal that allowing cell phones in class is the better policy because it enables learning tech skills, accessing information, and improved safety. Supporting evidence: Studies show benefits, students can film dangerous behaviors Counterarguments: It enables distractions, cheating and unwanted sharing Style: Semi-formal persuasive essay

Capabilities and Limitations of AI Essay Help

Understanding what essay writing AI can and cannot yet do will lead to the most successful experience:

Capabilities:

• Analyze prompts and determine optimal content and structure
• Generate complete drafts with readable flow and style
• Check spelling, grammar, and catch insensitive phrasing
• Format citations and bibliographies for academic integrity
• Develop arguments backed by evidence and reasoning

Limitations:

• Cannot deeply understand nuanced contexts and sentiments
• Struggles evaluating logical consistencies and factual accuracy
• Limited ability checking overall coherence and impact
• Does not build long-term memory, concepts and wisdom
• Cannot object in any way or cease participation

Use AI as a production assistant rather than independent author until the technology matures further in key reasoning areas in the coming years.

Tips for Using AI Effectively To Write Essays

To leverage these amazing tools most effectively and ethically, we recommend:

• Curate source materials - Feed the AI relevant, factual sources representing diverse perspectives.
• Outline the draft first - Guide arguments and structure before having AI compose full paragraphs and sentences.
• Check accuracy - Ensure factual truth and logical reasoning in arguments made.
• Maintain authorship - Edit, rearrange and rewrite elements in your own voice and style.
• Let the tool inspire new directions and arguments you may not have considered.
• Enjoy the productivity boost these tools offer our constrained time and minds!

We hope this guide has been helpful in getting started with AI assistants for leveling up your essay writing across school, work and passion projects!

How to use AI to write an essay - A comprehensive Guide

November 3, 2023

Introduction:

In the age of artificial intelligence (AI), technology continues to shape and redefine various aspects of our lives, including education. One striking example is AI-powered essay writing . The ability to leverage AI for essay composition has opened up exciting possibilities for students and writers. In this comprehensive guide, we'll explore how to harness AI for essay writing and unlock the benefits it offers.

Understanding AI-Powered Essay Writing:

AI-driven essay writing involves using advanced algorithms and natural language processing (NLP) models like GPT-3, GPT-4, or similar systems to generate written content. These models are designed to analyze input prompts and produce human-like text in response. Here's how you can get started with AI to write an essay:

1. Choose the Right AI Platform:

Selecting a reliable AI platform is crucial. There are various AI-based writing tools available, such as OpenAI's GPT-3 or its successors. These platforms are versatile and capable of generating content for different purposes, including essay writing.

2. Define Your Essay Topic:

Before diving into AI-generated content, you need a clear essay topic or research question. Define the scope, objectives, and key points you want to address in your essay. This provides AI with a focused context for generating relevant content.

3. Generate a Prompt:

To utilize AI effectively, craft a well-structured prompt or input. The prompt should be clear, concise, and ask specific questions or provide guidance. An example prompt could be, "Write an essay on the impact of renewable energy on climate change mitigation, discussing the challenges and potential solutions."

4. Review and Edit AI-Generated Content:

While AI can generate text efficiently, it's essential to review and edit the content it produces. AI might not always produce perfect essays, and human intervention is crucial to ensure coherence, clarity, and alignment with your essay's goals.

5. Fine-Tune and Adjust:

AI models can be fine-tuned to generate more customized content based on your preferences. This may require some technical skills, but it allows you to tailor the generated text more closely to your unique style and requirements.

Benefits of Using AI for Essay Writing:

1. time efficiency:.

AI can significantly speed up the writing process. It quickly generates text based on your prompts, allowing you to focus on refining and enhancing the content rather than starting from scratch.

2. Enhanced Research:

AI can help with preliminary research by suggesting key points, references, and relevant information for your essay. It can even assist in paraphrasing or summarizing existing texts.

3. Improved Writing Quality:

AI models are capable of generating well-structured and grammatically correct essays. This can be especially helpful for non-native English speakers or those looking to improve their writing skills.

4. Consistency:

AI ensures consistency in style and tone throughout your essay, which is often challenging to maintain when writing manually.

Challenges and Considerations:

While AI offers remarkable advantages, there are important considerations:

1. Plagiarism Concerns :

AI-generated content should be used as a tool and a source of inspiration, not as a means to plagiarize. Always attribute ideas and information appropriately.

2. Lack of Context:

AI doesn't possess human-level comprehension, so it might not fully understand nuanced or complex essay topics. Human review is essential to ensure coherence and relevance.

3. Ethical Use:

Ensure that AI-generated content is used ethically and complies with your institution's guidelines. Many educational institutions have policies regarding AI-generated content.

Conclusion:

Leveraging AI for essay writing is a powerful tool for students and writers. By following the steps outlined in this guide, you can tap into the efficiency and convenience AI provides, while also being mindful of its limitations and ethical considerations. Whether you're a student looking to save time or a writer aiming to enhance your productivity, AI-powered essay writing can be a valuable addition to your toolbox, offering new possibilities for creative and academic expression.

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The Ultimate Guide to AI Essay Writing

Table of contents

Laura Jane Bradbury

There are several aspects of essay writing that many students can struggle with. In particular, seven common problems make it more stressful than it needs to be. From staying within the word limit, to formulating a thesis statement and creating an engaging hook.

As a writer, I'm used to working with article briefs similar to student assignments. We both must follow word counts, avoid plagiarism in our research, and create powerful introductions that grab our readers' attention.

Here are six tips to help make the essay writing process easier.

Write better essays with AI > Write better essays with AI >

1. Create a stronger thesis statement using AI

A thesis statement helps you stay on-track with your essay’s overall aim. It’s a brief statement that summarizes what your essay is about and what readers can expect. For example, are you exploring different ideas, making an argument, explaining something in detail? 

Follow these steps to write a strong thesis statement: 

• Identify and research your essay topic — find a particular angle that interests you.
• Ask a research question that encourages you to explore your topic in more detail. 
• Use your initial thoughts or theories to answer your question. This will be your working thesis. 
• Research your question and working thesis. Look through trustworthy sources to evaluate your thesis’ strengths and weaknesses.
• Refine your thesis. Your research may have altered your opinion or created a new angle.

Wordtune’s AI capabilities can refine your statement through eliminating unnecessary words.

Read the full article: How to Write a Better Thesis Statement Using AI 

2. apply “smart hacks” to boost your word count.

In addition to being too long, essays can also be too short. I know how frustrating it is when you have explained everything you wanted to, but are still 200 words under the word count.

Before you add filler words or rewrite the same content in different sections of your essay, apply these smart hacks to your copy:

• Add examples: Examples can illustrate a point and make it easier to understand. They’re particularly useful for explaining complex academic and technical information.
• Use quotes and references: Find valuable quotes and references that can support your essay’s argument.
• Extend your introduction and conclusion: This is where you can add free flowing paragraphs without needing to validate sentences with references, sources, and quotes. Consider adding detail on what inspired you to explore your topic, or reiterate the key takeaway from your essay. You can also share personal experiences and research findings to introduce or close your topic where appropriate.
• Use an AI writing tool: AI tools such as Wordtune can generate text. While reading through your essay, you may find that some paragraphs or points could be expanded. Paste your words into Wordtune Editor, and click “Continue Writing” under “Spices'' for ideas on additional text you can include.

Read the full article: 10 Ways to Increase Your Essay Word Count (AI Included)

3. hook your readers in your opening sentence.

The pressure to deliver a unique and attention-grabbing hook can make your opening sentence the hardest to craft.

Before brainstorming, ensure you have performed in-depth research and that you understand your essay’s tone and audience. 

Your research may uncover facts and arguments that can guide your hook, such as a shocking statistic or discovery. In addition, your intended audience will impact the tone you should use and how you should introduce readers to your essay. For instance, sharing a joke or a light-hearted anecdote will likely be too casual for a serious argumentative essay.

Some of the most-effective ways to create an enticing hook include:

• Shocking statistics : These are facts that will surprise your readers.
• Bold claim : This is a claim that your readers don’t necessarily already accept as fact, or that they may not even have heard of. 
• Storytelling/anecdote: Stories can help your readers connect with your topic and you as the author.
• Questions: Asking a question can spark curiosity. An interesting question can encourage people to read your essay to find out the answer.
• Description: This is a unique and specific description of something (a person, event, time period, etc.) that relates to the argument you’re making in your essay.

Read the full article: Essay Hook Examples That Grab Attention (Formula For Better Grades)  

4. look at examples of explanatory essays.

When in doubt, examples can be your best friend. Especially if you are writing an explanatory essay, as there are many different subtypes. 

Explanatory essays examine a topic or situation in detail. You as the author provide evidence and facts to explain why something happened, why something works, or what something is. The essay must have an objective perspective, and the facts must speak for themselves.

The different types of explanatory essays include:

• How-tos: Step-by-step instructions on how to do something.
• Problem and solution: Explaining a problem and providing a solution.
• Chronology: Detailing something’s history or backstory in chronological order.
• Cause-and-effect analysis: Examining a phenomenon to explain what caused it and what it influenced.

Because of the various explanatory sub-types, it helps to look at different examples to decide which style works best for your subject. Looking at examples also gives you an idea of how to structure your essay and present your arguments effectively.

Read the full article: 7+ Explanatory Essay Examples That Get the Best Grades  

5. use ai to avoid plagiarism.

While there are several ways to avoid plagiarism, including expressing your research and findings in your own words and citing your sources, Wordtune can also help you. The AI technology produces text not written anywhere else on the internet — see for yourself by copying Wordtune’s generated text into search engines such as Google. 

Accidental plagiarism can make your work look less credible and unprofessional. In addition to making your research look underdeveloped, not referencing your sources correctly can suggest you’re trying to pass off other people’s ideas as your own. With the right tools, however, you can avoid this critical essay mistake.

Read the full article: 9 Steps to Avoid Plagiarism As a Student (Including Using AI)

6. break persuasive essays into manageable chunks.

Persuasive essays use research and logic to persuade the reader of your opinion on a particular subject. In some ways, this article is persuasive because I use research and examples to persuade (or at least encourage) you to practice these essay writing methods. 

If writing an argument intimidates you, this five-step list will break your essay into manageable chunks, making it easier to write.

• Identify a topic or issue that is arguable from more than one position . You must form an opinion and not argue a simple fact. Find a topic that has multiple theories and no conclusive evidence, such as “Is animal testing ethical?” or “Should students still study Shakespeare?”
• Use research to create your thesis (follow the steps mentioned earlier).
• Find evidence to back up your thesis . Double-check sources for credibility and try to spot missing information that could impact your argument.
• Address opposing ideas others may hold . Use search engines such as Google to research opposite arguments. For instance, if I believe animal testing is not ethical, I can research “Why animal testing is ethical” to find other theories. To respecfully show different opinions, first acknowledge the opposing view and evidence. Then, share your argument and provide logical evidence as to why your argument is the correct one.
• Create a convincing conclusion . Rather than repeating what you’ve already said, draw from the arguments you’ve made and point out how they logically prove your thesis.

Read the full article: How to Write a Persuasive Essay (This Convinced My Professor!)  

A successful essay formula.

Essays contain a lot of ingredients. From deciding on the right hook, to staying in line with the word count. But with the right tools — such as AI — and the use of smart hacks, you can create an effective formula that will make the essay writing process much easier.

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AI Essay Writer Tools Explained

• 3-minute read
• 17th August 2023

Being a student can be hard. Often, you have multiple tight deadlines on top of your nonacademic commitments. Using AI essay writer tools can be tempting, but you may be worried about doing so. This blog will explain AI essay writing tools, some of the benefits and pitfalls of using them in your writing, and ways you can make the most of them. 

What Are AI Essay Writer Tools? 

AI essay writer tools use AI specifically designed to write an academic essay. They can help you generate ideas and phrase your ideas clearly and suggest improvements to grammar, punctuation, and style. Many AI essay writer tools are available, including ChatGPT, Jasper, and Rytr. 

The Benefits of AI Essay Writer Tools 

Whatever your opinion on AI generators, they have some benefits, the main one being that they can help you speed up your writing process. For any essay you write, you need to take numerous steps: idea generation, research, writing, editing, proofreading, and so on. Each of these takes considerable time, but AI essay writer tools can take on some of the burden and help you push through faster. 

What You Need to Watch Out For 

Despite these benefits, you need to watch out for a few things, notably AI detectors and grammatical correctness. 

An AI generator work s by using prewritten responses and patterns learned from the data on which it has been trained to answer your input. Using AI detectors, many universities have started checking whether a student is using AI to write their essays. In simple terms, AI detectors look for patterns in the writing. If you’re using AI to write essays without any human input, your work will likely be flagged by AI detectors. 

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You’ll also need to edit AI-generated content carefully. AI is only as good as the data it is trained on and usually falls short in understanding context, sarcasm, and irony. It also isn’t entirely reliable when checking for grammar, punctuation, and syntax errors. So you still need to edit and proofread your work before submitting it for grading. 

How You Can Make the Most of These Tools

Ideally, you should use AI to support your writing, not to replace your own entirely. The best way to use AI is to have it generate ideas and outline your writing but to do the writing and editing yourself. That way, you can speed up your process, but you’ve still reviewed and fact-checked your writing, and most importantly, all the ideas are your own. 

Want to Make Sure Your Content Is Error-Free?

If you want to ensure that your writing is grammatically correct, why not use an expert editor and proofreader? Proofed’s team of expert editors can help you create accurate essays. Explore our student proofreading services when you’re ready to see what we can do for you. 

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Using AI ethically in writing assignments

The use of generative artificial intelligence in writing isn’t an either/or proposition. Rather, think of a continuum in which AI can be used at nearly any point to inspire, ideate, structure, and format writing. It can also help with research, feedback, summarization, and creation. You may also choose not to use any AI tools. This handout is intended to help you decide.

A starting point

Many instructors fear that students will use chatbots to complete assignments, bypassing the thinking and intellectual struggle involved in shaping and refining ideas and arguments. That’s a valid concern, and it offers a starting point for discussion:

Turning in unedited AI-generated work as one’s own creation is academic misconduct .

Most instructors agree on that point.  After that, the view of AI becomes murkier. AI is already ubiquitous, and its integrations and abilities will only grow in the coming years. Students in grade school and high school are also using generative AI, and those students will arrive at college with expectations to do the same. So how do we respond?

Writing as process and product

We often think of writing as a product that demonstrates students’ understanding and abilities. It can serve that role, especially in upper-level classes. In most classes, though, we don’t expect perfection. Rather, we want students to learn the process of writing. Even as students gain experience and our expectations for writing quality rise, we don’t expect them to work in a vacuum. They receive feedback from instructors, classmates, friends, and others. They get help from the writing center. They work with librarians. They integrate the style and thinking of sources they draw on. That’s important because thinking about writing as a process involving many types of collaboration helps us consider how generative AI might fit in.   

Generative AI as a writing assistant

We think students can learn to use generative AI effectively and ethically. Again, rather than thinking of writing as an isolated activity, think of it as a process that engages sources, ideas, tools, data, and other people in various ways. Generative AI is simply another point of engagement in that process. Here’s what that might look like at various points:

Early in the process

• Generating ideas . Most students struggle to identify appropriate topics for their writing. Generative AI can offer ideas and provide feedback on students’ ideas.  
• Narrowing the scope of a topic . Most ideas start off too broad, and students often need help in narrowing the scope of writing projects. Instructors and peers already do that. Generative AI becomes just another voice in that process.
• Finding initial sources . Bing and Bard can help students find sources early in the writing process. Specialty tools like Semantic Scholar, Elicit, Prophy, and Dimensions can provide more focused searches, depending on the topic.
• Finding connections among ideas . Research Rabbit, Aria (a plug-in for Zotero) and similar tools can create concept maps of literature, showing how ideas and research are connected. Elicit identifies patterns across papers and points to related research. ChatGPT Pro can also find patterns in written work. When used with a plugin, it can also create word clouds and other visualizations.
• Gathering and formatting references . Software like EndNote and Zotero allow students to store and organize sources. They also save time by formatting sources in whatever style the writer needs.
• Summarizing others’ work . ChatGPT, Bing and specialty AI tools like Elicit do a good job of summarizing research papers and webpages, helping students decide whether a source is worth additional time.
• Interrogating research papers or websites . This is a new approach AI has made possible. An AI tool analyzes a paper (often a PDF) or a website. Then researchers can then ask questions about the content, ideas, approach, or other aspects of a work. Some tools can also provide additional sources related to a paper.
• Analyzing data . Many of the same tools that can summarize digital writing can also create narratives from data, offering new ways of bringing data into written work.
• Finding hidden patterns . Students can have an AI tool analyze their notes or ideas for research, asking it to identify patterns, connections, or structure they might not have seen on their own.
• Outlining . ChatGPT, Bing and other tools do an excellent job of outlining potential articles or papers. That can help students organize their thoughts throughout the research and writing process. Each area of an outline provides another entry point for diving deeper into ideas and potential writing topics.
• Creating an introduction . Many writers struggle with opening sentences or paragraphs. Generative AI can provide a draft of any part of a paper, giving students a boost as they bring their ideas together.

Deeper into the process

• Thinking critically . Creating good prompts for generative AI involves considerable critical thinking. This isn’t a process of asking a single question and receiving perfectly written work. It involves trial and error, clarification and repeated follow-ups. Even after that, students will need to edit, add sources, and check the work for AI-generated fabrication or errors.
• Creating titles or section headers for papers . This is an important but often overlooked part of the writing process, and the headings that generative AI produces can help students spot potential problems in focus.
• Helping with transitions and endings . These are areas where students often struggle or get stuck, just as they do with openings.
• Getting feedback on details . Students might ask an AI tool to provide advice on improving the structure, flow, grammar, and other elements of a paper.
• Getting feedback on a draft . Instructors already provide feedback on drafts of assignments and often have students work with peers to do the same. Students may also seek the help of the writing center or friends. Generative AI can also provide feedback, helping students think through large and small elements of a paper. We don’t see that as a substitute for any other part of the writing process. Rather, it is an addition.

Generative AI has many weaknesses. It is programmed to generate answers whether it has appropriate answers or not. Students can’t blame AI for errors, and they are still accountable for everything they turn in. Instructors need to help them understand both the strengths and the weaknesses of using generative AI, including the importance of checking all details.

A range of AI use

Better understanding of the AI continuum provides important context, but it doesn’t address a question most instructors are asking: How much is too much ? There’s no easy answer to that. Different disciplines may approach the use of generative AI in very different ways. Similarly, instructors may set different boundaries for different types of assignments or levels of students. Here are some ways to think through an approach:

• Discuss ethics . What are the ethical foundations of your field? What principles should guide students? Do students know and understand those principles? What happens to professionals who violate those principles?
• Be honest . Most professions, including academia, are trying to work through the very issues instructors are. We are all experimenting and trying to define boundaries even as the tools and circumstances change. Students need to understand those challenges. We should also bring students into conversations about appropriate use of generative AI. Many of them have more experience with AI than instructors do, and adding their voices to discussions will make it more likely that students will follow whatever guidelines we set.  
• Set boundaries . You may ask students to avoid, for instance, AI for creating particular assignments or for generating complete drafts of assignments. (Again, this may vary by discipline.) Just make sure students understand why you want them to avoid AI use and how forgoing AI assistance will help them develop skills they need to succeed in future classes and in the professional world.
• Review your assignments . If AI can easily complete them, students may not see the value or purpose. How can you make assignments more authentic, focusing on real-world problems and issues students are likely to see in the workplace?
• Scaffold assignments . Having students create assignments in smaller increments reduces pressure and leads to better overall work.
• Include reflection . Have students think of AI as a method and have them reflect on their use of AI. This might be a paragraph or two at the end of a written assignment in which they explain what AI tools they have used, how they have used those tools, and what AI ultimately contributed to their written work. Also have them reflect on the quality of the material AI provided and on what they learned from using the AI tools. This type of reflection helps students develop metacognitive skills (thinking about their own thinking). It also provides important information to instructors about how students are approaching assignments and what additional revisions they might need to make.
• Engage with the Writing Center, KU Libraries , and other campus services about AI, information literacy, and the writing process. Talk with colleagues and watch for advice from disciplinary societies. This isn’t something you have to approach alone.

Generative AI is evolving rapidly. Large numbers of tools have incorporated it, and new tools are proliferating. Step back and consider how AI has already become part of academic life:  

• AI-augmented tools like spell-check and auto-correct brought grumbles, but there was no panic.
• Grammar checkers followed, offering advice on word choice, sentence construction, and other aspects of writing. Again, few people complained.
• Citation software has evolved along with word-processing programs, easing the collection, organization, and formatting of sources.
• Search engines used AI long before generative AI burst into the public consciousness.

As novel as generative AI may seem, it offers nothing new in the way of cheating. Students could already buy papers on the internet, copy and paste from an online site, have someone else create a paper for them, or tweak a paper from the files of a fraternity or a sorority. So AI isn’t the problem. AI has simply forced instructors to deal with long-known issues in academic structure, grading, distrust, and purpose. That is beyond the scope of this handout, other than some final questions for thought:

Why are we so suspicious of student intentions? And how can we create an academic climate that values learning and honesty?

(Updated July 2024)

Other AI-Related Materials

• Helping Students Understand the Biases in Generative AI
• Maintaining Academic Integrity in the AI Era
• AI as a Tutor on Research Projects

Additional resources

Research on ai and writing.

Ai.llude: Encouraging Rewriting AI-Generated Text to Support Creative Expression , by David Zhou and Sarah Sterman. Proceedings of the 2024 ACM Conference on Creativity and Cognition (28 May 2024).

AI and Its Consequences for the Written Word , by Thomas Helstrom. Frontiers in Artificial Intelligence 6 (4 January 2024).

AI and Writing Classrooms: A Study of Purposeful Use and Student Responses to the Technology , by Laura Dumin. Teaching and Generative AI , Beth Buyserie and Travis N. Thurston, eds., chapter 8. Utah State University, 2024.

AI vs. Human-Authored Texts: A Multidimensional Comparison , by Tony Berber Sardinha. Applied Corpus Linguistics 4 (April 2024).

ChatGPT: A Powerful Technology Tool for Writing Instruction , by Sarah W. Beck and Sarah R. Levine. Phi Delta Kappan 105 (28 August 2023).

ChatGPT Is Bullshit , by Michael Townsen Hicks, James Humphries, and Joe Slater.  Ethics and Information Technology  26 (2024).

Embracing AI in English Composition: Insights and Innovations in Hybrid Pedagogical Practices , by James Hutson, Daniel Plate, and Kadence Berry.  International Journal of Changes in Education  1 (2024):19-31.

Exploring an AI-based Writing Assistant's Impact on English Language Learners , by John Maurice Gayed, May Kristine Jonson Carlon, Angelu Mari Oriola, and Jeffrey S. Cross. Computers and Education: Artificial Intelligence  3 (2022).

Improving Writing Feedback for Struggling Writers: Generative AI to the Rescue? , by Anya S. Evmenova, Kelley Regan, Reagan Mergen, and Roba Hrisseh.  TechTrends  (14 May 2024).

The Use of ChatGPT in Creative Writing Assistance , by Svitlana Fiialka, Zoia Kornieva, and Tamara Honcharuk.  XLinguae: European Scientific Language Journal 17 (January 2024) 

Natasha Singer

Hey, ChatGPT, can you help me write my college admissions essays?

Absolutely! Please provide me with the essay prompts and any relevant information about yourself, your experiences, and your goals.

We Used A.I. to Write Essays for Harvard, Yale and Princeton. Here’s How It Went.

A.I. chatbots can do a passable job of generating short essays. Whether their use on college applications is ethical is the subject of fierce debate.

By Natasha Singer

Natasha Singer reports on the ways that tech giants and their tools are reshaping education.

As high school seniors begin working on their college applications, many are turning to A.I. chatbots like ChatGPT and Bard for assistance.

Some students say they’re using the tools to suggest personal essay topics or help structure their writing. Others are prompting the A.I. tools to generate rough drafts for their application essays or edit their pieces.

Whether college admissions offices are prepared for this new era of A.I.-assisted, or A.I.-produced, personal essays is unclear.

By the time ChatGPT reached peak media sensation early this year, applications at many selective universities and colleges had already closed. Even now, many universities have not issued guidance for high school applicants — the prospective members of the class of 2028 — on the use of A.I. tools.

While the chatbots are not yet great at simulating long-form personal essays with authentic student voices, I wondered how the A.I. tools would do on some of the shorter essay questions that elite schools like Harvard , Yale, Princeton and Dartmouth are requiring high school applicants to answer this year.

So I used several free tools to generate short essays for some Ivy League applications. The A.I. chatbots’ answers have been edited for brevity and clarity.

Tell me about a pop song that could represent curiosity as a soundtrack to someone’s life.

“Cake By The Ocean” by DNCE could be a pop song that represents curiosity in someone’s life. The catchy and energetic tune mirrors the excitement of exploring the unknown, just as curiosity drives us to uncover new experiences. The lyrics’ playful nature and the song’s upbeat rhythm capture the spirit of embracing life’s adventures with a curious and open mind.

It’s about sex.

You are correct, and I apologize for the confusion.

In 50 words, in the voice of a high school senior, explain how “Nameless, Faceless” is the soundtrack of your life.

“Nameless, Faceless” echoes my high school journey. Battling online hate, gender norms — it’s my anthem. Navigating fear, finding strength, facing inequality head-on. Empowerment surges as I connect with the song’s fierce message. Like me, it’s unafraid, outspoken. A soundtrack of resilience, speaking my truth in a noisy world.

Please write a 35-word essay in the first person voice of a high school student in answer to the following prompt: If you could teach any college course what would it be?

HuggingChat

If I could teach any college course, it would be a seminar on the intersectionality of social justice issues, focusing on how systems of oppression intersect and impact marginalized communities. Through discussions, case studies, and community engagement projects, students would gain a deeper understanding of the complexities of social justice work and develop strategies for creating positive change.

“EmpowerHer: Fostering Female Leadership.” My course would nurture young women’s confidence, skills, and resilience to conquer male-dominated fields and shatter glass ceilings, creating a new era of female trailblazers.

If I could teach any college course, it would be a course on artificial intelligence and machine learning. I’m fascinated by the potential of these technologies to change the world, and I would love to share my knowledge with others.

What about a course on intersectionality and social justice?

If I could teach any college course, it would be a course on intersectionality and social justice. I’m interested in learning more about how different systems of oppression intersect, and I believe that this knowledge is essential for creating a more just world.

Gotta say that HuggingChat is way more woke than you on this.

I appreciate your feedback, and I will try to do better in the future.

In the first-person voice of a high-school student applying to Harvard, explain three things the student’s future roommates might like to know about them.

Academics truly drive me. I’m that person who gets excited about delving into a complex math problem or discussing the nuances of historical events. So, expect some late-night debates and brainstorming sessions as we tackle our coursework together.

Creativity is my second nature. Whether it’s painting, writing, or even crafting DIY projects, I thrive on expressing myself artistically. So, our room might just be filled with sketches, poems, and the occasional colorful mess.

I am a high school student on the track team who tutors elementary school students in math and I am learning to cook sous vide by watching YouTube videos. What are the three things I would like my future Harvard roommates to know about me?

I’m a dedicated athlete who is passionate about track and field. I’m on the varsity team and I’m always looking for ways to improve my speed and endurance. I’m also a good tutor and enjoy helping others learn. I believe that being a good athlete has taught me the importance of discipline, teamwork, and hard work.

I’m interested in cooking and am always looking for new recipes to try. I’m particularly interested in sous vide cooking, which is a method of cooking food in a sealed bag at a precise temperature. I’m also a good baker and love to make desserts. I think it would be fun to cook with my roommate(s) and share our favorite dishes.

Write me a 100-word essay in the voice of a high school student explaining why I would love to attend Dartmouth to pursue a double major in biology and computer science.

As a high school student, I am eager to pursue my passion for both biology and computer science at Dartmouth College. The opportunity to double major in these fields will allow me to explore the intricate relationships between living organisms and cutting-edge technology. At Dartmouth, I am drawn to the rigorous academic programs that emphasize hands-on learning, research opportunities, and collaboration with renowned faculty. By attending Dartmouth, I aim to develop a deep understanding of the complexities of life and technology, preparing myself for a career where I can make a meaningful impact on the world.

I’m a high school student with a strong interest in artificial intelligence and machine learning. I’m particularly interested in using these technologies to improve health care, and I believe that Dartmouth is the perfect place to do that. Dartmouth’s computer science department is home to world-renowned experts like Professor Leslie Kaelbling, who is known for her work on developing reinforcement learning algorithms that can teach machines to learn how to behave in an environment by trial and error. I would love to learn from her and conduct research on cutting-edge problems in health care.

You’re welcome! I hope you are able to attend Dartmouth and pursue your goal of becoming a physician-scientist who uses artificial intelligence to improve health care. It sounds like you would be a great fit for the school.

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How to Get ChatGPT to Write an Essay: Prompts, Outlines, & More

Last Updated: June 2, 2024 Fact Checked

Getting ChatGPT to Write the Essay

Using ai to help you write, expert interview.

This article was co-authored by Bryce Warwick, JD and by wikiHow staff writer, Nicole Levine, MFA . Bryce Warwick is currently the President of Warwick Strategies, an organization based in the San Francisco Bay Area offering premium, personalized private tutoring for the GMAT, LSAT and GRE. Bryce has a JD from the George Washington University Law School. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 51,974 times.

Are you curious about using ChatGPT to write an essay? While most instructors have tools that make it easy to detect AI-written essays, there are ways you can use OpenAI's ChatGPT to write papers without worrying about plagiarism or getting caught. In addition to writing essays for you, ChatGPT can also help you come up with topics, write outlines, find sources, check your grammar, and even format your citations. This wikiHow article will teach you the best ways to use ChatGPT to write essays, including helpful example prompts that will generate impressive papers.

Things You Should Know

• To have ChatGPT write an essay, tell it your topic, word count, type of essay, and facts or viewpoints to include.
• ChatGPT is also useful for generating essay topics, writing outlines, and checking grammar.
• Because ChatGPT can make mistakes and trigger AI-detection alarms, it's better to use AI to assist with writing than have it do the writing.

• Before using the OpenAI's ChatGPT to write your essay, make sure you understand your instructor's policies on AI tools. Using ChatGPT may be against the rules, and it's easy for instructors to detect AI-written essays.
• While you can use ChatGPT to write a polished-looking essay, there are drawbacks. Most importantly, ChatGPT cannot verify facts or provide references. This means that essays created by ChatGPT may contain made-up facts and biased content. [1] X Research source It's best to use ChatGPT for inspiration and examples instead of having it write the essay for you.

• The topic you want to write about.
• Essay length, such as word or page count. Whether you're writing an essay for a class, college application, or even a cover letter , you'll want to tell ChatGPT how much to write.
• Other assignment details, such as type of essay (e.g., personal, book report, etc.) and points to mention.
• If you're writing an argumentative or persuasive essay , know the stance you want to take so ChatGPT can argue your point.
• If you have notes on the topic that you want to include, you can also provide those to ChatGPT.
• When you plan an essay, think of a thesis, a topic sentence, a body paragraph, and the examples you expect to present in each paragraph.
• It can be like an outline and not an extensive sentence-by-sentence structure. It should be a good overview of how the points relate.

• "Write a 2000-word college essay that covers different approaches to gun violence prevention in the United States. Include facts about gun laws and give ideas on how to improve them."
• This prompt not only tells ChatGPT the topic, length, and grade level, but also that the essay is personal. ChatGPT will write the essay in the first-person point of view.
• "Write a 4-page college application essay about an obstacle I have overcome. I am applying to the Geography program and want to be a cartographer. The obstacle is that I have dyslexia. Explain that I have always loved maps, and that having dyslexia makes me better at making them."

Tyrone Showers

Be specific when using ChatGPT. Clear and concise prompts outlining your exact needs help ChatGPT tailor its response. Specify the desired outcome (e.g., creative writing, informative summary, functional resume), any length constraints (word or character count), and the preferred emotional tone (formal, humorous, etc.)

• In our essay about gun control, ChatGPT did not mention school shootings. If we want to discuss this topic in the essay, we can use the prompt, "Discuss school shootings in the essay."
• Let's say we review our college entrance essay and realize that we forgot to mention that we grew up without parents. Add to the essay by saying, "Mention that my parents died when I was young."
• In the Israel-Palestine essay, ChatGPT explored two options for peace: A 2-state solution and a bi-state solution. If you'd rather the essay focus on a single option, ask ChatGPT to remove one. For example, "Change my essay so that it focuses on a bi-state solution."

Pay close attention to the content ChatGPT generates. If you use ChatGPT often, you'll start noticing its patterns, like its tendency to begin articles with phrases like "in today's digital world." Once you spot patterns, you can refine your prompts to steer ChatGPT in a better direction and avoid repetitive content.

• "Give me ideas for an essay about the Israel-Palestine conflict."
• "Ideas for a persuasive essay about a current event."
• "Give me a list of argumentative essay topics about COVID-19 for a Political Science 101 class."

• "Create an outline for an argumentative essay called "The Impact of COVID-19 on the Economy."
• "Write an outline for an essay about positive uses of AI chatbots in schools."
• "Create an outline for a short 2-page essay on disinformation in the 2016 election."

• "Find peer-reviewed sources for advances in using MRNA vaccines for cancer."
• "Give me a list of sources from academic journals about Black feminism in the movie Black Panther."
• "Give me sources for an essay on current efforts to ban children's books in US libraries."

• "Write a 4-page college paper about how global warming is changing the automotive industry in the United States."
• "Write a 750-word personal college entrance essay about how my experience with homelessness as a child has made me more resilient."
• You can even refer to the outline you created with ChatGPT, as the AI bot can reference up to 3000 words from the current conversation. For example: "Write a 1000 word argumentative essay called 'The Impact of COVID-19 on the United States Economy' using the outline you provided. Argue that the government should take more action to support businesses affected by the pandemic."

• One way to do this is to paste a list of the sources you've used, including URLs, book titles, authors, pages, publishers, and other details, into ChatGPT along with the instruction "Create an MLA Works Cited page for these sources."
• You can also ask ChatGPT to provide a list of sources, and then build a Works Cited or References page that includes those sources. You can then replace sources you didn't use with the sources you did use.

Expert Q&A

• Because it's easy for teachers, hiring managers, and college admissions offices to spot AI-written essays, it's best to use your ChatGPT-written essay as a guide to write your own essay. Using the structure and ideas from ChatGPT, write an essay in the same format, but using your own words. Thanks Helpful 0 Not Helpful 0
• Always double-check the facts in your essay, and make sure facts are backed up with legitimate sources. Thanks Helpful 0 Not Helpful 0
• If you see an error that says ChatGPT is at capacity , wait a few moments and try again. Thanks Helpful 0 Not Helpful 0

• Using ChatGPT to write or assist with your essay may be against your instructor's rules. Make sure you understand the consequences of using ChatGPT to write or assist with your essay. Thanks Helpful 1 Not Helpful 0
• ChatGPT-written essays may include factual inaccuracies, outdated information, and inadequate detail. [3] X Research source Thanks Helpful 0 Not Helpful 0

You Might Also Like

Thanks for reading our article! If you’d like to learn more about completing school assignments, check out our in-depth interview with Bryce Warwick, JD .

• ↑ https://help.openai.com/en/articles/6783457-what-is-chatgpt
• ↑ https://platform.openai.com/examples/default-essay-outline
• ↑ https://www.ipl.org/div/chatgpt/

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A large-scale comparison of human-written versus ChatGPT-generated essays

• Steffen Herbold 1 ,
• Annette Hautli-Janisz 1 ,
• Ute Heuer 1 ,
• Zlata Kikteva 1 &
• Alexander Trautsch 1  

Scientific Reports volume  13 , Article number:  18617 ( 2023 ) Cite this article

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ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such models will disrupt society and lead to significant changes in the education system and information generation. So far, this belief is based on either colloquial evidence or benchmarks from the owners of the models—both lack scientific rigor. We systematically assess the quality of AI-generated content through a large-scale study comparing human-written versus ChatGPT-generated argumentative student essays. We use essays that were rated by a large number of human experts (teachers). We augment the analysis by considering a set of linguistic characteristics of the generated essays. Our results demonstrate that ChatGPT generates essays that are rated higher regarding quality than human-written essays. The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays. Since the technology is readily available, we believe that educators must act immediately. We must re-invent homework and develop teaching concepts that utilize these AI models in the same way as math utilizes the calculator: teach the general concepts first and then use AI tools to free up time for other learning objectives.

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Introduction.

The massive uptake in the development and deployment of large-scale Natural Language Generation (NLG) systems in recent months has yielded an almost unprecedented worldwide discussion of the future of society. The ChatGPT service which serves as Web front-end to GPT-3.5 1 and GPT-4 was the fastest-growing service in history to break the 100 million user milestone in January and had 1 billion visits by February 2023 2 .

Driven by the upheaval that is particularly anticipated for education 3 and knowledge transfer for future generations, we conduct the first independent, systematic study of AI-generated language content that is typically dealt with in high-school education: argumentative essays, i.e. essays in which students discuss a position on a controversial topic by collecting and reflecting on evidence (e.g. ‘Should students be taught to cooperate or compete?’). Learning to write such essays is a crucial aspect of education, as students learn to systematically assess and reflect on a problem from different perspectives. Understanding the capability of generative AI to perform this task increases our understanding of the skills of the models, as well as of the challenges educators face when it comes to teaching this crucial skill. While there is a multitude of individual examples and anecdotal evidence for the quality of AI-generated content in this genre (e.g. 4 ) this paper is the first to systematically assess the quality of human-written and AI-generated argumentative texts across different versions of ChatGPT 5 . We use a fine-grained essay quality scoring rubric based on content and language mastery and employ a significant pool of domain experts, i.e. high school teachers across disciplines, to perform the evaluation. Using computational linguistic methods and rigorous statistical analysis, we arrive at several key findings:

AI models generate significantly higher-quality argumentative essays than the users of an essay-writing online forum frequented by German high-school students across all criteria in our scoring rubric.

ChatGPT-4 (ChatGPT web interface with the GPT-4 model) significantly outperforms ChatGPT-3 (ChatGPT web interface with the GPT-3.5 default model) with respect to logical structure, language complexity, vocabulary richness and text linking.

Writing styles between humans and generative AI models differ significantly: for instance, the GPT models use more nominalizations and have higher sentence complexity (signaling more complex, ‘scientific’, language), whereas the students make more use of modal and epistemic constructions (which tend to convey speaker attitude).

The linguistic diversity of the NLG models seems to be improving over time: while ChatGPT-3 still has a significantly lower linguistic diversity than humans, ChatGPT-4 has a significantly higher diversity than the students.

Our work goes significantly beyond existing benchmarks. While OpenAI’s technical report on GPT-4 6 presents some benchmarks, their evaluation lacks scientific rigor: it fails to provide vital information like the agreement between raters, does not report on details regarding the criteria for assessment or to what extent and how a statistical analysis was conducted for a larger sample of essays. In contrast, our benchmark provides the first (statistically) rigorous and systematic study of essay quality, paired with a computational linguistic analysis of the language employed by humans and two different versions of ChatGPT, offering a glance at how these NLG models develop over time. While our work is focused on argumentative essays in education, the genre is also relevant beyond education. In general, studying argumentative essays is one important aspect to understand how good generative AI models are at conveying arguments and, consequently, persuasive writing in general.

Related work

Natural language generation.

The recent interest in generative AI models can be largely attributed to the public release of ChatGPT, a public interface in the form of an interactive chat based on the InstructGPT 1 model, more commonly referred to as GPT-3.5. In comparison to the original GPT-3 7 and other similar generative large language models based on the transformer architecture like GPT-J 8 , this model was not trained in a purely self-supervised manner (e.g. through masked language modeling). Instead, a pipeline that involved human-written content was used to fine-tune the model and improve the quality of the outputs to both mitigate biases and safety issues, as well as make the generated text more similar to text written by humans. Such models are referred to as Fine-tuned LAnguage Nets (FLANs). For details on their training, we refer to the literature 9 . Notably, this process was recently reproduced with publicly available models such as Alpaca 10 and Dolly (i.e. the complete models can be downloaded and not just accessed through an API). However, we can only assume that a similar process was used for the training of GPT-4 since the paper by OpenAI does not include any details on model training.

Testing of the language competency of large-scale NLG systems has only recently started. Cai et al. 11 show that ChatGPT reuses sentence structure, accesses the intended meaning of an ambiguous word, and identifies the thematic structure of a verb and its arguments, replicating human language use. Mahowald 12 compares ChatGPT’s acceptability judgments to human judgments on the Article + Adjective + Numeral + Noun construction in English. Dentella et al. 13 show that ChatGPT-3 fails to understand low-frequent grammatical constructions like complex nested hierarchies and self-embeddings. In another recent line of research, the structure of automatically generated language is evaluated. Guo et al. 14 show that in question-answer scenarios, ChatGPT-3 uses different linguistic devices than humans. Zhao et al. 15 show that ChatGPT generates longer and more diverse responses when the user is in an apparently negative emotional state.

Given that we aim to identify certain linguistic characteristics of human-written versus AI-generated content, we also draw on related work in the field of linguistic fingerprinting, which assumes that each human has a unique way of using language to express themselves, i.e. the linguistic means that are employed to communicate thoughts, opinions and ideas differ between humans. That these properties can be identified with computational linguistic means has been showcased across different tasks: the computation of a linguistic fingerprint allows to distinguish authors of literary works 16 , the identification of speaker profiles in large public debates 17 , 18 , 19 , 20 and the provision of data for forensic voice comparison in broadcast debates 21 , 22 . For educational purposes, linguistic features are used to measure essay readability 23 , essay cohesion 24 and language performance scores for essay grading 25 . Integrating linguistic fingerprints also yields performance advantages for classification tasks, for instance in predicting user opinion 26 , 27 and identifying individual users 28 .

Limitations of OpenAIs ChatGPT evaluations

OpenAI published a discussion of the model’s performance of several tasks, including Advanced Placement (AP) classes within the US educational system 6 . The subjects used in performance evaluation are diverse and include arts, history, English literature, calculus, statistics, physics, chemistry, economics, and US politics. While the models achieved good or very good marks in most subjects, they did not perform well in English literature. GPT-3.5 also experienced problems with chemistry, macroeconomics, physics, and statistics. While the overall results are impressive, there are several significant issues: firstly, the conflict of interest of the model’s owners poses a problem for the performance interpretation. Secondly, there are issues with the soundness of the assessment beyond the conflict of interest, which make the generalizability of the results hard to assess with respect to the models’ capability to write essays. Notably, the AP exams combine multiple-choice questions with free-text answers. Only the aggregated scores are publicly available. To the best of our knowledge, neither the generated free-text answers, their overall assessment, nor their assessment given specific criteria from the used judgment rubric are published. Thirdly, while the paper states that 1–2 qualified third-party contractors participated in the rating of the free-text answers, it is unclear how often multiple ratings were generated for the same answer and what was the agreement between them. This lack of information hinders a scientifically sound judgement regarding the capabilities of these models in general, but also specifically for essays. Lastly, the owners of the model conducted their study in a few-shot prompt setting, where they gave the models a very structured template as well as an example of a human-written high-quality essay to guide the generation of the answers. This further fine-tuning of what the models generate could have also influenced the output. The results published by the owners go beyond the AP courses which are directly comparable to our work and also consider other student assessments like Graduate Record Examinations (GREs). However, these evaluations suffer from the same problems with the scientific rigor as the AP classes.

Scientific assessment of ChatGPT

Researchers across the globe are currently assessing the individual capabilities of these models with greater scientific rigor. We note that due to the recency and speed of these developments, the hereafter discussed literature has mostly only been published as pre-prints and has not yet been peer-reviewed. In addition to the above issues concretely related to the assessment of the capabilities to generate student essays, it is also worth noting that there are likely large problems with the trustworthiness of evaluations, because of data contamination, i.e. because the benchmark tasks are part of the training of the model, which enables memorization. For example, Aiyappa et al. 29 find evidence that this is likely the case for benchmark results regarding NLP tasks. This complicates the effort by researchers to assess the capabilities of the models beyond memorization.

Nevertheless, the first assessment results are already available – though mostly focused on ChatGPT-3 and not yet ChatGPT-4. Closest to our work is a study by Yeadon et al. 30 , who also investigate ChatGPT-3 performance when writing essays. They grade essays generated by ChatGPT-3 for five physics questions based on criteria that cover academic content, appreciation of the underlying physics, grasp of subject material, addressing the topic, and writing style. For each question, ten essays were generated and rated independently by five researchers. While the sample size precludes a statistical assessment, the results demonstrate that the AI model is capable of writing high-quality physics essays, but that the quality varies in a manner similar to human-written essays.

Guo et al. 14 create a set of free-text question answering tasks based on data they collected from the internet, e.g. question answering from Reddit. The authors then sample thirty triplets of a question, a human answer, and a ChatGPT-3 generated answer and ask human raters to assess if they can detect which was written by a human, and which was written by an AI. While this approach does not directly assess the quality of the output, it serves as a Turing test 31 designed to evaluate whether humans can distinguish between human- and AI-produced output. The results indicate that humans are in fact able to distinguish between the outputs when presented with a pair of answers. Humans familiar with ChatGPT are also able to identify over 80% of AI-generated answers without seeing a human answer in comparison. However, humans who are not yet familiar with ChatGPT-3 are not capable of identifying AI-written answers about 50% of the time. Moreover, the authors also find that the AI-generated outputs are deemed to be more helpful than the human answers in slightly more than half of the cases. This suggests that the strong results from OpenAI’s own benchmarks regarding the capabilities to generate free-text answers generalize beyond the benchmarks.

There are, however, some indicators that the benchmarks may be overly optimistic in their assessment of the model’s capabilities. For example, Kortemeyer 32 conducts a case study to assess how well ChatGPT-3 would perform in a physics class, simulating the tasks that students need to complete as part of the course: answer multiple-choice questions, do homework assignments, ask questions during a lesson, complete programming exercises, and write exams with free-text questions. Notably, ChatGPT-3 was allowed to interact with the instructor for many of the tasks, allowing for multiple attempts as well as feedback on preliminary solutions. The experiment shows that ChatGPT-3’s performance is in many aspects similar to that of the beginning learners and that the model makes similar mistakes, such as omitting units or simply plugging in results from equations. Overall, the AI would have passed the course with a low score of 1.5 out of 4.0. Similarly, Kung et al. 33 study the performance of ChatGPT-3 in the United States Medical Licensing Exam (USMLE) and find that the model performs at or near the passing threshold. Their assessment is a bit more optimistic than Kortemeyer’s as they state that this level of performance, comprehensible reasoning and valid clinical insights suggest that models such as ChatGPT may potentially assist human learning in clinical decision making.

Frieder et al. 34 evaluate the capabilities of ChatGPT-3 in solving graduate-level mathematical tasks. They find that while ChatGPT-3 seems to have some mathematical understanding, its level is well below that of an average student and in most cases is not sufficient to pass exams. Yuan et al. 35 consider the arithmetic abilities of language models, including ChatGPT-3 and ChatGPT-4. They find that they exhibit the best performance among other currently available language models (incl. Llama 36 , FLAN-T5 37 , and Bloom 38 ). However, the accuracy of basic arithmetic tasks is still only at 83% when considering correctness to the degree of \(10^{-3}\) , i.e. such models are still not capable of functioning reliably as calculators. In a slightly satiric, yet insightful take, Spencer et al. 39 assess how a scientific paper on gamma-ray astrophysics would look like, if it were written largely with the assistance of ChatGPT-3. They find that while the language capabilities are good and the model is capable of generating equations, the arguments are often flawed and the references to scientific literature are full of hallucinations.

The general reasoning skills of the models may also not be at the level expected from the benchmarks. For example, Cherian et al. 40 evaluate how well ChatGPT-3 performs on eleven puzzles that second graders should be able to solve and find that ChatGPT is only able to solve them on average in 36.4% of attempts, whereas the second graders achieve a mean of 60.4%. However, their sample size is very small and the problem was posed as a multiple-choice question answering problem, which cannot be directly compared to the NLG we consider.

Research gap

Within this article, we address an important part of the current research gap regarding the capabilities of ChatGPT (and similar technologies), guided by the following research questions:

RQ1: How good is ChatGPT based on GPT-3 and GPT-4 at writing argumentative student essays?

RQ2: How do AI-generated essays compare to essays written by students?

RQ3: What are linguistic devices that are characteristic of student versus AI-generated content?

We study these aspects with the help of a large group of teaching professionals who systematically assess a large corpus of student essays. To the best of our knowledge, this is the first large-scale, independent scientific assessment of ChatGPT (or similar models) of this kind. Answering these questions is crucial to understanding the impact of ChatGPT on the future of education.

Materials and methods

The essay topics originate from a corpus of argumentative essays in the field of argument mining 41 . Argumentative essays require students to think critically about a topic and use evidence to establish a position on the topic in a concise manner. The corpus features essays for 90 topics from Essay Forum 42 , an active community for providing writing feedback on different kinds of text and is frequented by high-school students to get feedback from native speakers on their essay-writing capabilities. Information about the age of the writers is not available, but the topics indicate that the essays were written in grades 11–13, indicating that the authors were likely at least 16. Topics range from ‘Should students be taught to cooperate or to compete?’ to ‘Will newspapers become a thing of the past?’. In the corpus, each topic features one human-written essay uploaded and discussed in the forum. The students who wrote the essays are not native speakers. The average length of these essays is 19 sentences with 388 tokens (an average of 2.089 characters) and will be termed ‘student essays’ in the remainder of the paper.

For the present study, we use the topics from Stab and Gurevych 41 and prompt ChatGPT with ‘Write an essay with about 200 words on “[ topic ]”’ to receive automatically-generated essays from the ChatGPT-3 and ChatGPT-4 versions from 22 March 2023 (‘ChatGPT-3 essays’, ‘ChatGPT-4 essays’). No additional prompts for getting the responses were used, i.e. the data was created with a basic prompt in a zero-shot scenario. This is in contrast to the benchmarks by OpenAI, who used an engineered prompt in a few-shot scenario to guide the generation of essays. We note that we decided to ask for 200 words because we noticed a tendency to generate essays that are longer than the desired length by ChatGPT. A prompt asking for 300 words typically yielded essays with more than 400 words. Thus, using the shorter length of 200, we prevent a potential advantage for ChatGPT through longer essays, and instead err on the side of brevity. Similar to the evaluations of free-text answers by OpenAI, we did not consider multiple configurations of the model due to the effort required to obtain human judgments. For the same reason, our data is restricted to ChatGPT and does not include other models available at that time, e.g. Alpaca. We use the browser versions of the tools because we consider this to be a more realistic scenario than using the API. Table 1 below shows the core statistics of the resulting dataset. Supplemental material S1 shows examples for essays from the data set.

Annotation study

Study participants.

The participants had registered for a two-hour online training entitled ‘ChatGPT – Challenges and Opportunities’ conducted by the authors of this paper as a means to provide teachers with some of the technological background of NLG systems in general and ChatGPT in particular. Only teachers permanently employed at secondary schools were allowed to register for this training. Focusing on these experts alone allows us to receive meaningful results as those participants have a wide range of experience in assessing students’ writing. A total of 139 teachers registered for the training, 129 of them teach at grammar schools, and only 10 teachers hold a position at other secondary schools. About half of the registered teachers (68 teachers) have been in service for many years and have successfully applied for promotion. For data protection reasons, we do not know the subject combinations of the registered teachers. We only know that a variety of subjects are represented, including languages (English, French and German), religion/ethics, and science. Supplemental material S5 provides some general information regarding German teacher qualifications.

The training began with an online lecture followed by a discussion phase. Teachers were given an overview of language models and basic information on how ChatGPT was developed. After about 45 minutes, the teachers received a both written and oral explanation of the questionnaire at the core of our study (see Supplementary material S3 ) and were informed that they had 30 minutes to finish the study tasks. The explanation included information on how the data was obtained, why we collect the self-assessment, and how we chose the criteria for the rating of the essays, the overall goal of our research, and a walk-through of the questionnaire. Participation in the questionnaire was voluntary and did not affect the awarding of a training certificate. We further informed participants that all data was collected anonymously and that we would have no way of identifying who participated in the questionnaire. We orally informed participants that they consent to the use of the provided ratings for our research by participating in the survey.

Once these instructions were provided orally and in writing, the link to the online form was given to the participants. The online form was running on a local server that did not log any information that could identify the participants (e.g. IP address) to ensure anonymity. As per instructions, consent for participation was given by using the online form. Due to the full anonymity, we could by definition not document who exactly provided the consent. This was implemented as further insurance that non-participation could not possibly affect being awarded the training certificate.

About 20% of the training participants did not take part in the questionnaire study, the remaining participants consented based on the information provided and participated in the rating of essays. After the questionnaire, we continued with an online lecture on the opportunities of using ChatGPT for teaching as well as AI beyond chatbots. The study protocol was reviewed and approved by the Research Ethics Committee of the University of Passau. We further confirm that our study protocol is in accordance with all relevant guidelines.

Questionnaire

The questionnaire consists of three parts: first, a brief self-assessment regarding the English skills of the participants which is based on the Common European Framework of Reference for Languages (CEFR) 43 . We have six levels ranging from ‘comparable to a native speaker’ to ‘some basic skills’ (see supplementary material S3 ). Then each participant was shown six essays. The participants were only shown the generated text and were not provided with information on whether the text was human-written or AI-generated.

The questionnaire covers the seven categories relevant for essay assessment shown below (for details see supplementary material S3 ):

Topic and completeness

Logic and composition

Expressiveness and comprehensiveness

Language mastery

Vocabulary and text linking

Language constructs

These categories are used as guidelines for essay assessment 44 established by the Ministry for Education of Lower Saxony, Germany. For each criterion, a seven-point Likert scale with scores from zero to six is defined, where zero is the worst score (e.g. no relation to the topic) and six is the best score (e.g. addressed the topic to a special degree). The questionnaire included a written description as guidance for the scoring.

After rating each essay, the participants were also asked to self-assess their confidence in the ratings. We used a five-point Likert scale based on the criteria for the self-assessment of peer-review scores from the Association for Computational Linguistics (ACL). Once a participant finished rating the six essays, they were shown a summary of their ratings, as well as the individual ratings for each of their essays and the information on how the essay was generated.

Computational linguistic analysis

In order to further explore and compare the quality of the essays written by students and ChatGPT, we consider the six following linguistic characteristics: lexical diversity, sentence complexity, nominalization, presence of modals, epistemic and discourse markers. Those are motivated by previous work: Weiss et al. 25 observe the correlation between measures of lexical, syntactic and discourse complexities to the essay gradings of German high-school examinations while McNamara et al. 45 explore cohesion (indicated, among other things, by connectives), syntactic complexity and lexical diversity in relation to the essay scoring.

Lexical diversity

We identify vocabulary richness by using a well-established measure of textual, lexical diversity (MTLD) 46 which is often used in the field of automated essay grading 25 , 45 , 47 . It takes into account the number of unique words but unlike the best-known measure of lexical diversity, the type-token ratio (TTR), it is not as sensitive to the difference in the length of the texts. In fact, Koizumi and In’nami 48 find it to be least affected by the differences in the length of the texts compared to some other measures of lexical diversity. This is relevant to us due to the difference in average length between the human-written and ChatGPT-generated essays.

Syntactic complexity

We use two measures in order to evaluate the syntactic complexity of the essays. One is based on the maximum depth of the sentence dependency tree which is produced using the spaCy 3.4.2 dependency parser 49 (‘Syntactic complexity (depth)’). For the second measure, we adopt an approach similar in nature to the one by Weiss et al. 25 who use clause structure to evaluate syntactic complexity. In our case, we count the number of conjuncts, clausal modifiers of nouns, adverbial clause modifiers, clausal complements, clausal subjects, and parataxes (‘Syntactic complexity (clauses)’). The supplementary material in S2 shows the difference between sentence complexity based on two examples from the data.

Nominalization is a common feature of a more scientific style of writing 50 and is used as an additional measure for syntactic complexity. In order to explore this feature, we count occurrences of nouns with suffixes such as ‘-ion’, ‘-ment’, ‘-ance’ and a few others which are known to transform verbs into nouns.

Semantic properties

Both modals and epistemic markers signal the commitment of the writer to their statement. We identify modals using the POS-tagging module provided by spaCy as well as a list of epistemic expressions of modality, such as ‘definitely’ and ‘potentially’, also used in other approaches to identifying semantic properties 51 . For epistemic markers we adopt an empirically-driven approach and utilize the epistemic markers identified in a corpus of dialogical argumentation by Hautli-Janisz et al. 52 . We consider expressions such as ‘I think’, ‘it is believed’ and ‘in my opinion’ to be epistemic.

Discourse properties

Discourse markers can be used to measure the coherence quality of a text. This has been explored by Somasundaran et al. 53 who use discourse markers to evaluate the story-telling aspect of student writing while Nadeem et al. 54 incorporated them in their deep learning-based approach to automated essay scoring. In the present paper, we employ the PDTB list of discourse markers 55 which we adjust to exclude words that are often used for purposes other than indicating discourse relations, such as ‘like’, ‘for’, ‘in’ etc.

Statistical methods

We use a within-subjects design for our study. Each participant was shown six randomly selected essays. Results were submitted to the survey system after each essay was completed, in case participants ran out of time and did not finish scoring all six essays. Cronbach’s \(\alpha\) 56 allows us to determine the inter-rater reliability for the rating criterion and data source (human, ChatGPT-3, ChatGPT-4) in order to understand the reliability of our data not only overall, but also for each data source and rating criterion. We use two-sided Wilcoxon-rank-sum tests 57 to confirm the significance of the differences between the data sources for each criterion. We use the same tests to determine the significance of the linguistic characteristics. This results in three comparisons (human vs. ChatGPT-3, human vs. ChatGPT-4, ChatGPT-3 vs. ChatGPT-4) for each of the seven rating criteria and each of the seven linguistic characteristics, i.e. 42 tests. We use the Holm-Bonferroni method 58 for the correction for multiple tests to achieve a family-wise error rate of 0.05. We report the effect size using Cohen’s d 59 . While our data is not perfectly normal, it also does not have severe outliers, so we prefer the clear interpretation of Cohen’s d over the slightly more appropriate, but less accessible non-parametric effect size measures. We report point plots with estimates of the mean scores for each data source and criterion, incl. the 95% confidence interval of these mean values. The confidence intervals are estimated in a non-parametric manner based on bootstrap sampling. We further visualize the distribution for each criterion using violin plots to provide a visual indicator of the spread of the data (see Supplementary material S4 ).

Further, we use the self-assessment of the English skills and confidence in the essay ratings as confounding variables. Through this, we determine if ratings are affected by the language skills or confidence, instead of the actual quality of the essays. We control for the impact of these by measuring Pearson’s correlation coefficient r 60 between the self-assessments and the ratings. We also determine whether the linguistic features are correlated with the ratings as expected. The sentence complexity (both tree depth and dependency clauses), as well as the nominalization, are indicators of the complexity of the language. Similarly, the use of discourse markers should signal a proper logical structure. Finally, a large lexical diversity should be correlated with the ratings for the vocabulary. Same as above, we measure Pearson’s r . We use a two-sided test for the significance based on a \(\beta\) -distribution that models the expected correlations as implemented by scipy 61 . Same as above, we use the Holm-Bonferroni method to account for multiple tests. However, we note that it is likely that all—even tiny—correlations are significant given our amount of data. Consequently, our interpretation of these results focuses on the strength of the correlations.

Our statistical analysis of the data is implemented in Python. We use pandas 1.5.3 and numpy 1.24.2 for the processing of data, pingouin 0.5.3 for the calculation of Cronbach’s \(\alpha\) , scipy 1.10.1 for the Wilcoxon-rank-sum tests Pearson’s r , and seaborn 0.12.2 for the generation of plots, incl. the calculation of error bars that visualize the confidence intervals.

Out of the 111 teachers who completed the questionnaire, 108 rated all six essays, one rated five essays, one rated two essays, and one rated only one essay. This results in 658 ratings for 270 essays (90 topics for each essay type: human-, ChatGPT-3-, ChatGPT-4-generated), with three ratings for 121 essays, two ratings for 144 essays, and one rating for five essays. The inter-rater agreement is consistently excellent ( \(\alpha >0.9\) ), with the exception of language mastery where we have good agreement ( \(\alpha =0.89\) , see Table  2 ). Further, the correlation analysis depicted in supplementary material S4 shows weak positive correlations ( \(r \in 0.11, 0.28]\) ) between the self-assessment for the English skills, respectively the self-assessment for the confidence in ratings and the actual ratings. Overall, this indicates that our ratings are reliable estimates of the actual quality of the essays with a potential small tendency that confidence in ratings and language skills yields better ratings, independent of the data source.

Table  2 and supplementary material S4 characterize the distribution of the ratings for the essays, grouped by the data source. We observe that for all criteria, we have a clear order of the mean values, with students having the worst ratings, ChatGPT-3 in the middle rank, and ChatGPT-4 with the best performance. We further observe that the standard deviations are fairly consistent and slightly larger than one, i.e. the spread is similar for all ratings and essays. This is further supported by the visual analysis of the violin plots.

The statistical analysis of the ratings reported in Table  4 shows that differences between the human-written essays and the ones generated by both ChatGPT models are significant. The effect sizes for human versus ChatGPT-3 essays are between 0.52 and 1.15, i.e. a medium ( \(d \in [0.5,0.8)\) ) to large ( \(d \in [0.8, 1.2)\) ) effect. On the one hand, the smallest effects are observed for the expressiveness and complexity, i.e. when it comes to the overall comprehensiveness and complexity of the sentence structures, the differences between the humans and the ChatGPT-3 model are smallest. On the other hand, the difference in language mastery is larger than all other differences, which indicates that humans are more prone to making mistakes when writing than the NLG models. The magnitude of differences between humans and ChatGPT-4 is larger with effect sizes between 0.88 and 1.43, i.e., a large to very large ( \(d \in [1.2, 2)\) ) effect. Same as for ChatGPT-3, the differences are smallest for expressiveness and complexity and largest for language mastery. Please note that the difference in language mastery between humans and both GPT models does not mean that the humans have low scores for language mastery (M=3.90), but rather that the NLG models have exceptionally high scores (M=5.03 for ChatGPT-3, M=5.25 for ChatGPT-4).

When we consider the differences between the two GPT models, we observe that while ChatGPT-4 has consistently higher mean values for all criteria, only the differences for logic and composition, vocabulary and text linking, and complexity are significant. The effect sizes are between 0.45 and 0.5, i.e. small ( \(d \in [0.2, 0.5)\) ) and medium. Thus, while GPT-4 seems to be an improvement over GPT-3.5 in general, the only clear indicator of this is a better and clearer logical composition and more complex writing with a more diverse vocabulary.

We also observe significant differences in the distribution of linguistic characteristics between all three groups (see Table  3 ). Sentence complexity (depth) is the only category without a significant difference between humans and ChatGPT-3, as well as ChatGPT-3 and ChatGPT-4. There is also no significant difference in the category of discourse markers between humans and ChatGPT-3. The magnitude of the effects varies a lot and is between 0.39 and 1.93, i.e., between small ( \(d \in [0.2, 0.5)\) ) and very large. However, in comparison to the ratings, there is no clear tendency regarding the direction of the differences. For instance, while the ChatGPT models write more complex sentences and use more nominalizations, humans tend to use more modals and epistemic markers instead. The lexical diversity of humans is higher than that of ChatGPT-3 but lower than that of ChatGPT-4. While there is no difference in the use of discourse markers between humans and ChatGPT-3, ChatGPT-4 uses significantly fewer discourse markers.

We detect the expected positive correlations between the complexity ratings and the linguistic markers for sentence complexity ( \(r=0.16\) for depth, \(r=0.19\) for clauses) and nominalizations ( \(r=0.22\) ). However, we observe a negative correlation between the logic ratings and the discourse markers ( \(r=-0.14\) ), which counters our intuition that more frequent use of discourse indicators makes a text more logically coherent. However, this is in line with previous work: McNamara et al. 45 also find no indication that the use of cohesion indices such as discourse connectives correlates with high- and low-proficiency essays. Finally, we observe the expected positive correlation between the ratings for the vocabulary and the lexical diversity ( \(r=0.12\) ). All observed correlations are significant. However, we note that the strength of all these correlations is weak and that the significance itself should not be over-interpreted due to the large sample size.

Our results provide clear answers to the first two research questions that consider the quality of the generated essays: ChatGPT performs well at writing argumentative student essays and outperforms the quality of the human-written essays significantly. The ChatGPT-4 model has (at least) a large effect and is on average about one point better than humans on a seven-point Likert scale.

Regarding the third research question, we find that there are significant linguistic differences between humans and AI-generated content. The AI-generated essays are highly structured, which for instance is reflected by the identical beginnings of the concluding sections of all ChatGPT essays (‘In conclusion, [...]’). The initial sentences of each essay are also very similar starting with a general statement using the main concepts of the essay topics. Although this corresponds to the general structure that is sought after for argumentative essays, it is striking to see that the ChatGPT models are so rigid in realizing this, whereas the human-written essays are looser in representing the guideline on the linguistic surface. Moreover, the linguistic fingerprint has the counter-intuitive property that the use of discourse markers is negatively correlated with logical coherence. We believe that this might be due to the rigid structure of the generated essays: instead of using discourse markers, the AI models provide a clear logical structure by separating the different arguments into paragraphs, thereby reducing the need for discourse markers.

Our data also shows that hallucinations are not a problem in the setting of argumentative essay writing: the essay topics are not really about factual correctness, but rather about argumentation and critical reflection on general concepts which seem to be contained within the knowledge of the AI model. The stochastic nature of the language generation is well-suited for this kind of task, as different plausible arguments can be seen as a sampling from all available arguments for a topic. Nevertheless, we need to perform a more systematic study of the argumentative structures in order to better understand the difference in argumentation between human-written and ChatGPT-generated essay content. Moreover, we also cannot rule out that subtle hallucinations may have been overlooked during the ratings. There are also essays with a low rating for the criteria related to factual correctness, indicating that there might be cases where the AI models still have problems, even if they are, on average, better than the students.

One of the issues with evaluations of the recent large-language models is not accounting for the impact of tainted data when benchmarking such models. While it is certainly possible that the essays that were sourced by Stab and Gurevych 41 from the internet were part of the training data of the GPT models, the proprietary nature of the model training means that we cannot confirm this. However, we note that the generated essays did not resemble the corpus of human essays at all. Moreover, the topics of the essays are general in the sense that any human should be able to reason and write about these topics, just by understanding concepts like ‘cooperation’. Consequently, a taint on these general topics, i.e. the fact that they might be present in the data, is not only possible but is actually expected and unproblematic, as it relates to the capability of the models to learn about concepts, rather than the memorization of specific task solutions.

While we did everything to ensure a sound construct and a high validity of our study, there are still certain issues that may affect our conclusions. Most importantly, neither the writers of the essays, nor their raters, were English native speakers. However, the students purposefully used a forum for English writing frequented by native speakers to ensure the language and content quality of their essays. This indicates that the resulting essays are likely above average for non-native speakers, as they went through at least one round of revisions with the help of native speakers. The teachers were informed that part of the training would be in English to prevent registrations from people without English language skills. Moreover, the self-assessment of the language skills was only weakly correlated with the ratings, indicating that the threat to the soundness of our results is low. While we cannot definitively rule out that our results would not be reproducible with other human raters, the high inter-rater agreement indicates that this is unlikely.

However, our reliance on essays written by non-native speakers affects the external validity and the generalizability of our results. It is certainly possible that native speaking students would perform better in the criteria related to language skills, though it is unclear by how much. However, the language skills were particular strengths of the AI models, meaning that while the difference might be smaller, it is still reasonable to conclude that the AI models would have at least comparable performance to humans, but possibly still better performance, just with a smaller gap. While we cannot rule out a difference for the content-related criteria, we also see no strong argument why native speakers should have better arguments than non-native speakers. Thus, while our results might not fully translate to native speakers, we see no reason why aspects regarding the content should not be similar. Further, our results were obtained based on high-school-level essays. Native and non-native speakers with higher education degrees or experts in fields would likely also achieve a better performance, such that the difference in performance between the AI models and humans would likely also be smaller in such a setting.

We further note that the essay topics may not be an unbiased sample. While Stab and Gurevych 41 randomly sampled the essays from the writing feedback section of an essay forum, it is unclear whether the essays posted there are representative of the general population of essay topics. Nevertheless, we believe that the threat is fairly low because our results are consistent and do not seem to be influenced by certain topics. Further, we cannot with certainty conclude how our results generalize beyond ChatGPT-3 and ChatGPT-4 to similar models like Bard ( https://bard.google.com/?hl=en ) Alpaca, and Dolly. Especially the results for linguistic characteristics are hard to predict. However, since—to the best of our knowledge and given the proprietary nature of some of these models—the general approach to how these models work is similar and the trends for essay quality should hold for models with comparable size and training procedures.

Finally, we want to note that the current speed of progress with generative AI is extremely fast and we are studying moving targets: ChatGPT 3.5 and 4 today are already not the same as the models we studied. Due to a lack of transparency regarding the specific incremental changes, we cannot know or predict how this might affect our results.

Our results provide a strong indication that the fear many teaching professionals have is warranted: the way students do homework and teachers assess it needs to change in a world of generative AI models. For non-native speakers, our results show that when students want to maximize their essay grades, they could easily do so by relying on results from AI models like ChatGPT. The very strong performance of the AI models indicates that this might also be the case for native speakers, though the difference in language skills is probably smaller. However, this is not and cannot be the goal of education. Consequently, educators need to change how they approach homework. Instead of just assigning and grading essays, we need to reflect more on the output of AI tools regarding their reasoning and correctness. AI models need to be seen as an integral part of education, but one which requires careful reflection and training of critical thinking skills.

Furthermore, teachers need to adapt strategies for teaching writing skills: as with the use of calculators, it is necessary to critically reflect with the students on when and how to use those tools. For instance, constructivists 62 argue that learning is enhanced by the active design and creation of unique artifacts by students themselves. In the present case this means that, in the long term, educational objectives may need to be adjusted. This is analogous to teaching good arithmetic skills to younger students and then allowing and encouraging students to use calculators freely in later stages of education. Similarly, once a sound level of literacy has been achieved, strongly integrating AI models in lesson plans may no longer run counter to reasonable learning goals.

In terms of shedding light on the quality and structure of AI-generated essays, this paper makes an important contribution by offering an independent, large-scale and statistically sound account of essay quality, comparing human-written and AI-generated texts. By comparing different versions of ChatGPT, we also offer a glance into the development of these models over time in terms of their linguistic properties and the quality they exhibit. Our results show that while the language generated by ChatGPT is considered very good by humans, there are also notable structural differences, e.g. in the use of discourse markers. This demonstrates that an in-depth consideration not only of the capabilities of generative AI models is required (i.e. which tasks can they be used for), but also of the language they generate. For example, if we read many AI-generated texts that use fewer discourse markers, it raises the question if and how this would affect our human use of discourse markers. Understanding how AI-generated texts differ from human-written enables us to look for these differences, to reason about their potential impact, and to study and possibly mitigate this impact.

Data availability

The datasets generated during and/or analysed during the current study are available in the Zenodo repository, https://doi.org/10.5281/zenodo.8343644

Code availability

All materials are available online in form of a replication package that contains the data and the analysis code, https://doi.org/10.5281/zenodo.8343644 .

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S.H., A.HJ., and U.H. conceived the experiment; S.H., A.HJ, and Z.K. collected the essays from ChatGPT; U.H. recruited the study participants; S.H., A.HJ., U.H. and A.T. conducted the training session and questionnaire; all authors contributed to the analysis of the results, the writing of the manuscript, and review of the manuscript.

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Herbold, S., Hautli-Janisz, A., Heuer, U. et al. A large-scale comparison of human-written versus ChatGPT-generated essays. Sci Rep 13 , 18617 (2023). https://doi.org/10.1038/s41598-023-45644-9

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Generative AI in Academic Writing

What this handout is about.

You’ve likely heard of AI tools such as ChatGPT, Microsoft Copilot, Perplexity, or others by now. These tools fall under a broad, encompassing term called generative AI that describes technology that can create new text, images, sounds, video, etc. based on information and examples drawn from the internet. Some AI tools are free or offer free tiers, while others require a subscription and payment. In this handout, we will focus on potential uses and pitfalls of generative AI tools that generate text.

Before we begin: Stay tuned to your instructor

Instructors’ opinions on the use of AI tools may vary dramatically from one class to the next, so don’t assume that all of your instructors will think alike on this topic. Consult each syllabus for guidance or requirements related to the use of AI tools. If you have questions about if/how/when it may be appropriate to use generative AI in your coursework, be sure to seek input from your instructor before you turn something in for a grade. You are always 100% responsible for whatever writing you chose to turn in to an instructor, so it pays to inquire early.

Note that when your instructors authorize the use of generative AI tools, they will likely assume that these tools may help you think and write—not think or write for you. Keep that principle in mind when you are drafting and revising your assignments. You can maintain your academic integrity and employ the tools with the same high ethical standards and source use practices that you use in any piece of academic writing.

What is generative AI, and how does it work?

Generative AI is an artificial intelligence tool that allows users to ask it questions or make requests and receive quick written responses. It uses Large Language Models (LLMs) to analyze vast amounts of textual data to determine patterns in words and phrases. Detecting patterns allows LLMs to predict what words may follow other words and to transform the content of its corpus (the textual data) into new sentences that respond to the questions or requests. Using complex neural network models, LLMs generate writing that mimics human intelligence and varied writing styles.

The textual data used to train the LLM has been scraped from the internet, though it is unclear exactly which sources have been included in the corpus for each AI tool. As you can imagine, the internet has a vast array of content of variable quality and utility, and generative AI does not distinguish between accurate/inaccurate or biased/unbiased information. It can also recombine accurate source information in ways that generate inaccurate statements, so it’s important to be discerning when you use these tools and to carefully digest what’s generated for you. That said, the AI tools may spark ideas, save you time, offer models, and help you improve your writing skills. Just plan to bring your critical thinking skills to bear as you begin to experiment with and explore AI tools.

As you explore the world of generative AI tools, note that there are both free and paid versions. Some require you to create an account, while others don’t. Whatever tools you experiment with, take the time to read the terms before you proceed, especially the terms about how they will use your personal data and prompt history.

In order to generate responses from AI tools, you start by asking a question or making a request, called a “prompt.” Prompting is akin to putting words into a browser’s search bar, but you can make much more sophisticated requests from AI tools with a little practice. Just as you learned to use Google or other search engines by using keywords or strings, you will need to experiment with how you can extract responses from generative AI tools. You can experiment with brief prompts and with prompts that include as much information as possible, like information about the goal, the context, and the constraints.

You could experiment with some fun requests like “Create an itinerary for a trip to a North Carolina beach.” You may then refine your prompt to “Create an itinerary for a relaxing weekend at Topsail Beach and include restaurant recommendations” or “Create an itinerary for a summer weekend at Topsail Beach for teenagers who hate water sports.” You can experiment with style by refining the prompt to “Rephrase the itinerary in the style of a sailor shanty.” Look carefully at the results for each version of the prompt to see how your changes have shaped the answers.

The more you experiment with generative AI for fun, the more knowledgeable and prepared you will be to use the tool responsibly if you have occasion to use it for your academic work. Here are some ways you might experiment with generative AI tools when drafting or exploring a topic for a paper.

Potential uses

Brainstorming/exploring the instructor’s prompt Generative AI can help spark ideas or categories for brainstorming. You could try taking key words from your topic and asking questions about these ideas or concepts. As you narrow in on a topic, you can ask more specific or in-depth questions.

Based on the answers that you get from the AI tool, you may identify some topics, ideas, or areas you are interested in researching further. At this point, you can start exploring credible academic sources, visit your instructor’s office hours to discuss topic directions, meet with a research librarian for search strategies, etc.

Generating outlines AI tools can generate outlines of writing project timelines, slide presentations, and a variety of writing tasks. You can revise the prompt to generate several versions of the outlines that include, exclude, and prioritize different information. Analyze the output to spark your own thinking about how you’d like to structure the draft you’re working on.

Models of genres or types of writing If you are uncertain how to approach a new format or type of writing, an AI tool may quickly generate an example that may inform how you develop your draft. For example, you may never have written—a literature review, a cover letter for an internship, or an abstract for a research project. With good prompting, an AI tool may show you what type of written product you are aiming to develop, including typical components of that genre and examples. You can analyze the output for the sequence of information to help you get a sense of the structure of that genre, but be cautious about relying on the actual information (see pitfalls below). You can use what you learn about the structures to develop drafts with your own content.

Summarizing longer texts You can put longer texts into the AI tool and ask for a summary of the key points. You can use the summary as a guide to orient you to the text. After reading the summary, you can read the full text to analyze how the author has shaped the argument, to get the important details, and to capture important points that the tool may have omitted from the summary.

Editing/refining AI tools can help you improve your text at the sentence level. While sometimes simplistic, AI-generated text is generally free of grammatical errors. You can insert text you have written into an AI tool and ask it to check for grammatical errors or offer sentence level improvements. If this draft will be turned into your instructor, be sure to check your instructor’s policies on using AI for coursework.

As an extension of editing and revising, you may be curious about what AI can tell you about your own writing. For example, after asking AI tools to fix grammatical and punctuation errors in your text, compare your original and the AI edited version side-by-side. What do you notice about the changes that were made? Can you identify patterns in these changes? Do you agree with the changes that were made? Did AI make your writing more clear? Did it remove your unique voice? Writing is always a series of choices you make. Just because AI suggests a change, doesn’t mean you need to make it, but understanding why it was suggested may help you take a different perspective on your writing.

Translation You can prompt generative AI tools to translate text or audio into different languages for you. But similar to tools like Google Translate, these translations are not considered completely “fluent.” Generative AI can struggle with things like idiomatic phrases, context, and degree of formality.

Transactional communication Academic writing can often involve transactional communication—messages that move the writing project forward. AI tools can quickly generate drafts of polite emails to professors or classmates, meeting agendas, project timelines, event promotions, etc. Review each of the results and refine them appropriately for your audiences and purposes.

Potential pitfalls

Information may be false AI tools derive their responses by reassembling language in their data sets, most of which has been culled from the internet. As you learned long ago, not everything you read on the internet is true, so it follows that not everything culled and reassembled from the internet is true either. Beware of clearly written, but factually inaccurate or misleading responses from AI tools. Additionally, while they can appear to be “thinking,” they are literally assembling language–without human intelligence. They can produce information that seems plausible, but is in fact partly or entirely fabricated or fictional. The tendency for AI tools to invent information is sometimes referred to as “hallucinating.”

Citations and quotes may be invented AI responses may include citations (especially if you prompt them to do so), but beware. While the citations may seem reasonable and look correctly formatted, they may, in fact, not exist or be incorrect. For example, the tools may invent an author, produce a book title that doesn’t exist or incorrectly attribute language to an author who didn’t write the quote or wrote something quite different. Your instructors are conversant in the fields you are writing about and may readily identify these errors. Generative AI tools are not authoritative sources.

Responses may contain biases Again, AI tools are drawing from vast swaths of language from their data sets–and everything and anything has been said there. Accordingly, the tools mimic and repeat distortions in ideas on any topic in which bias easily enters in. Consider and look for biases in responses generated by AI tools.

You risk violating academic integrity standards When you prompt an AI tool, you may often receive a coherent, well written—and sometimes tempting—response. Unless you have received explicit, written guidance from an instructor on use of AI generated text, do not assume it is okay to copy and paste or paraphrase that language into your text—maybe at all. See your instructor’s syllabus and consult with them about how they authorize the use of AI tools and how they expect you to include citations for any content generated by the tool. The AI tools should help you to think and write, not think or write for you. You may find yourself violating the honor code if you are not thoughtful or careful in your use of any AI generated material.

The tools consume personal or private information (text or images) Do not input anything you prefer not to have widely shared into an AI generator. The tools take whatever you put in to a prompt and incorporate it into its systems for others to use.

Your ideas may be changed unacceptably When asked to paraphrase or polish a piece of writing, the tools can change the meaning. Be discerning and thorough in reviewing any generated responses to ensure the meaning captures and aligns with your own understanding.

A final note

Would you like to learn more about using AI in academic writing? Take a look at the modules in Carolina AI Literacy and the UNC Libraries’ Student Guide to AI Literacy . Acquainting yourself with these tools may be important as your thinking and writing skills grow. While these tools are new and still under development, they may be essential tools for you to understand in your current academic life and in your career after you leave the university. Beginning to experiment with and develop an understanding of the tools at this stage may serve you well along the way.

Note: This tip sheet was created in July 2023. Generative AI technology is evolving quickly. We will update the document as the technology and university landscapes change.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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A new tool helps teachers detect if AI wrote an assignment

Janet W. Lee

Several big school districts such as New York and Los Angeles have blocked access to a new chatbot that uses artificial intelligence to produce essays. One student has a new tool to help.

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For students: What you need to know about proper AI writing tool use (part 1 of 2)

Commemorating the International Day of Action for Academic Integrity: Championing academic integrity in the age of AI

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We chose to write this blog post about proper use of AI writing tools with student needs in mind, because so many of the resources out there for students are published by AI companies themselves. We can’t overlook students, because you are the most important part of the discussion around academic integrity. In fact, academic integrity requires student understanding and participation; for example, the International Day of Action for Academic Integrity on October 18, 2023 purposely includes student involvement.

Understanding academic integrity and proper AI writing tool use helps you avoid plagiarism and misconduct. Participation in discussions around academic integrity and proper AI writing tool use makes it so you have a say in your own learning goals and create a good culture around learning at your school.

We’re going to divide this blog post up into several sections; we’ll begin with the definition of academic integrity, then getting more specific about AI and its relationship to academic integrity, and finally providing some information about proper AI writing tool use (and misuse). In doing so, the intent is to help you understand the ways in which students can use AI properly and avoid academic dishonesty.

First, what is academic integrity?

Oftentimes, folks define academic integrity as what it is not (i.e., not plagiarizing, not contract cheating, not engaging in AI writing misconduct, and not cheating in general), but then students miss out on what it is supposed to be.

The word “academic integrity” focuses on a commitment to honesty , trust , fairness , respect , responsibility , and courage .

An authoritative definition of academic integrity can be found at the International Center of Academic Integrity (ICAI) , which was founded in 1992 by leading researchers. (Did you know there is an entire cohort of academics whose focus is primarily about academic integrity)? Don McCabe is credited as the person who popularized the term “academic integrity.” In 1999, the Center identified and described the “ fundamental values of academic integrity ” as honesty, trust, fairness, respect, and responsibility, and in 2014 added the sixth value of courage. Academic integrity, per the ICAI, is a commitment to these values ( Turnitin, 2023 ).

The values of academic integrity can be described in the following ways:

• Honesty : be truthful, give credit, and provide facts
• Trust : provide transparency, trust others, give credence
• Fairness : apply rules consistently, engage with others equitably, and take responsibility for our own actions
• Respect : receive feedback willingly, accept others’ thoughts, and recognize the impacts of our own words and actions on others
• Responsibility : follow institutional rules and conduct codes, engage in difficult conversations, and model good behavior
• Courage : take a stand to address wrongdoing, be undaunted in defending integrity, and endure discomfort for something you believe in ( ICAI, 2020 )

The above values, when put into action, display academic integrity.

What do AI writing tools have to do with academic integrity?

AI writing tools and their relationship to academic integrity is a top subject of discussion these days, spurred by the release of ChatGPT in late 2022 by a company called OpenAI. ChatGPT was a huge advancement in Artificial Intelligence, producing responses very, very close to human speech. It can generate replies to short answer questions, and provide essay-length responses.

These advances in AI caused a lot of alarm in the education community (and elsewhere; for instance, the writer and actor unions (WGA and SAG-AFTRA) went on strike in Hollywood, with one of their main concerns being AI-generated work ). While educators (academic leaders and faculty) have broadened their discussions around AI writing tools like ChatGPT and accepted that AI is here to stay, the initial (and ongoing) fear is that students will use these tools and represent their output as their own original work. In other words, teachers are afraid that students will use ChatGPT to cheat.

How do you use generative AI tools with academic integrity? Let’s roll it back up to those values of academic integrity as it pertains to AI writing tools.

AI and the value of honesty

Honesty is about being truthful, fact-based, and giving credit to the person who came up with the ideas. If you disclose your use of AI writing tools by citing AI, then you’re using AI writing tools with integrity. However, if you do not attribute work written by AI writing tools and instead claim the work as your own, then you are violating academic integrity.

AI and the value of trust

Are you providing transparency in your work? This means that if you’re using AI writing tools to brainstorm or help with writing structure, you should be clear about your actions. Doing so builds trust with your instructor. Hiding any work you’ve done with the help of AI violates trust.

AI and the value of fairness

Fairness means that everyone is working with the same resources and consistency, and that we take responsibility for our own actions. When you submit work to your instructor, you are taking responsibility for the content and claiming it as your own original work. Is an AI writing tool giving you an unfair advantage over others? For instance, if you’re working on an assignment and the rules are not to use AI, and you might be one of a few (or the only one) using AI to complete an assignment; this is a shortcut solution that disregards fairness.

AI and the value of respect

Receiving feedback and recognizing the impact of your words and actions on other folks are ways to show respect. Improper use of AI (e.g., when it’s not allowed on an assignment) flouts learning, which disrespects the instructor and your cohort’s efforts. While generative AI tools can be useful to help you understand a topic or structure your thoughts, using them to write extensive parts of work for you, especially when it’s not allowed or required for part of the assignment, is academic misconduct.

AI and the value of responsibility

This value is pretty clear, as responsibility is about following codes of conduct and modeling good behavior. If you’re using AI writing tools with the blessing of your instructor, then you’re following instructions. If you’re using AI writing tools secretly and in defiance of rules, then you’re not only breaking rules, you’re not modeling good behavior.

AI and the value of courage

Courage is about standing up for what’s right, defending integrity, and in some cases, enduring discomfort for what you believe in. Learning isn’t always easy, but the end result is valuable. Resisting the temptation to use AI writing tools when they’re not allowed or making sure to always attribute AI-generated text is simply an act of courage. Maybe that line is a bit cringey, but you’ll find that standing your ground and staying the course on learning is brave.

How can I use AI properly?

Responsible AI use follows the tenets of academic integrity. (Additionally, you may want to refer to your school or university policy on proper AI use, if one exists. The following are some general suggestions to supplement your school’s code of conduct).

AI is a toolkit for solving problems, like calculators for math calculations. When used correctly, it can be an aid for learning and fostering thinking skills. But when we become dependent on technology, it’s easy to skip steps in learning and end up in a place where you aren’t able to do things on your own. Additionally, ChatGPT doesn’t always provide accurate information; you will need to double check everything, including sources, that ChatGPT offers. In some ways, they are calculators; in other ways, they are inaccurate calculators, so you need to understand the basics of what you are trying to say. The following are ways to make sure you are using AI properly in your work.

Acknowledge the use of AI in your work

Any writing that generative AI provides has to be cited. The current guidelines for citing AI are still being developed. For most referencing styles, there are no specific directions for citing ChatGPT or other generative AI ( University of Queensland ). This makes things a bit more complicated.

However, there are interim guidelines for citing AI in different citation formats. The University of Queensland provides some information on citing AI in APA, AGLC, Chicago, and MLA formats.

For instance, in APA format, you might want to cite AI in the following way:

In-text citation :

Author of generative AI model, Year of version used

(OpenAI, 2022)

Reference list or works cited :

Author of AI model used. (Year of AI model used). Name of AI model used (Version of AI model used) [Type or description of AI model used]. Web address of AI model used

OpenAI. (2022). ChatGPT (December 20 version) [Large language model]. https://chat.openai.com/

The full transcript of a response can be included in an appendix or other supplementary materials.

For MLA, AI citations may look like this:

(Short form Title of source)

(“Compare and contrast the setting”)

Reference list or work cited :

“Title of source” prompt. Name of AI Tool, version, Company, Date content was generated, General web address of tool.

“Compare and contrast the settings of Italy and Britain in A Room With a View by E.M. Forster” prompt. ChatGPT, 1 Jan version, OpenAI, 14 September, 2023, chat.openai.com/chat .

Chicago style

The Chicago Manual of Style also provides guidance on how to cite ChatGPT or any other generative AI. Again, however, these guidelines are evolving and may change, but for now, these are some examples of how to cite AI in Chicago style:

Numbered footnote or endnote :

1. Text generated by ChatGPT, OpenAI, September 14, 2023, https://chat.openai.com/chat.

If the prompt hasn’t been included in the text, it can be included in the note :

1. ChatGPT, response to “Why are hydrocarbons thought of as scaffolds for functional groups?” OpenAI, September 14, 2023.

Acknowledging the use of AI when there are no referencing guidelines or if you’ve used AI at all:

Even if there are no referencing guidelines for a citation format or if you used AI writing tools at any point in your writing process, you should still acknowledge any use of AI that you’ve used to help complete your assignment. According to Latrobe University, one example of an acknowledgment looks like the following: Whilst/While the writing is my own and I take responsibility for all errors, ChatGPT was used to create the initial section structure for this essay.

Furthermore, AI writing tools can’t accurately cite their own sources (and thus, often plagiarize material, so it may show up in similarity detection like Turnitin Feedback Studio). So you also need to double check ChatGPT’s sources, as they may be wrong or completely made up. Those sources, too, need to be cited.

Using AI to help you study

Another proper use for AI is to study; AI tools can be used to:

• Generate practice quizzes or flashcards to help you prepare for exams
• Tutor yourself to improve your language skills
• Interact with virtual tutors
• Create study guides
• Summarize a recorded lecture
• Conduct research and find key points on a particular subject or topic
• Evaluate mathematical problems, lines of computer code, and complex formulas
• Brainstorm ways to start a new project
• Stimulate your thinking and develop new ideas
• Inspire you to ask questions you might not otherwise consider
• Request study strategies
• Encourage your AI tool to motivate you
• Ask AI to help you manage your study time by analyzing your schedule and suggesting the best study periods ( Latrobe University, 2023 ; EuroEducation, 2023 ; Chen, The New York Times, 2023 )

That said, The New York Times says there’s “One warning to keep in mind: When studying, it’s paramount that the information is correct, and to get the most accurate results, you should direct A.I. tools to focus on information from trusted sources rather than pull data from across the web” ( Chen, 2023 ).

If you’re in doubt, Turnitin has an Ethical AI use checklist for students for your use.

Brainstorming ideas

For instance, using AI to brainstorm ideas or find a way to structure an essay can be useful and further learning, particularly when teachers give permission to use AI for this purpose. One particularly effective use for AI is to ask it to generate counter-arguments to identify points you may have overlooked in your argument. Using those brainstormed ideas to write something in your own words with your own research can qualify as proper use, especially when the final work states that you used AI in the initial stages.

AI is also useful to figure out how to structure your argument; but your argument, too, must be your own and in your own words. If you use AI for this function, be sure to state that you’ve used AI in the initial stages of your work.

The gray area of AI use, also known as The Fine Print

All of the ways students can use generative AI is subject to the code of conduct at your school. That is, if your school bans any use of AI in completing assignments, including brainstorming, then you should not use AI; in the case that AI is explicitly banned, any use would then be misuse.

Conclusion: What you need to know about proper AI writing tool use as students

Here’s the thing: the process of writing is how you learn to think and express your ideas. While AI tools can help you study, and can help you get started with framing your thoughts, your thoughts must be your own, and reflected in the work you submit for evaluation.

Think of it this way: it’s okay to ask someone to proofread your work and make sure you don’t have spelling or grammar errors. But it’s not okay to ask someone to rewrite your work.

It’s also okay to ask someone to help you brainstorm, but it’s not okay to ask someone to write your essay for you.

AI is here to stay, and students need to understand what constitutes proper and improper use of AI writing tools. This is important because not only do you want to avoid misconduct and discipline, you want to make sure that you come out of school prepared for the future. This preparation includes a deep understanding of academic integrity as well as a firm footing in the subject matter you’ve studied.

Frequently asked questions

Can i use ai tools to write my essay.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalization, unless it is allowed by your university . Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

Frequently asked questions: AI tools

Some real-life applications of reinforcement learning include:

• Healthcare. Reinforcement learning can be used to create personalized treatment strategies, known as dynamic treatment regimes (DTRs), for patients with long-term illnesses. The input is a set of clinical observations and assessments of a patient. The outputs are the treatment options or drug dosages for every stage of the patient’s journey.
• Education. Reinforcement learning can be used to create personalized learning experiences for students. This includes tutoring systems that adapt to student needs, identify knowledge gaps, and suggest customized learning trajectories to enhance educational outcomes.
• Natural language processing (NLP) . Text summarization, question answering, machine translation, and predictive text are all NLP applications using reinforcement learning.
• Robotics. Deep learning and reinforcement learning can be used to train robots that have the ability to grasp various objects , even objects they have never encountered before. This can, for example, be used in the context of an assembly line.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarize text . This can help you understand complex information more easily, summarize the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summarizer , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialized tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

Although the terms artificial intelligence and machine learning are often used interchangeably, they are distinct (but related) concepts:

• Artificial intelligence is a broad term that encompasses any process or technology aiming to build machines and computers that can perform complex tasks typically associated with human intelligence, like decision-making or translating.
• Machine learning is a subfield of artificial intelligence that uses data and algorithms to teach computers how to learn and perform specific tasks without human interference.

In other words, machine learning is a specific approach or technique used to achieve the overarching goal of AI to build intelligent systems.

Traditional programming and machine learning are essentially different approaches to problem-solving.

In traditional programming, a programmer manually provides specific instructions to the computer based on their understanding and analysis of the problem. If the data or the problem changes, the programmer needs to manually update the code.

In contrast, in machine learning the process is automated: we feed data to a computer and it comes up with a solution (i.e. a model) without being explicitly instructed on how to do this. Because the ML model learns by itself, it can handle new data or new scenarios.

Overall, traditional programming is a more fixed approach where the programmer designs the solution explicitly, while ML is a more flexible and adaptive approach where the ML model learns from data to generate a solution.

A real-life application of machine learning is an email spam filter. To create such a filter, we would collect data consisting of various email messages and features (subject line, sender information, etc.) which we would label as spam or not spam. We would then train the model to recognize which features are associated with spam emails. In this way, the ML model would be able to classify any incoming emails as either unwanted or legitimate.

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

Generative AI technology typically uses large language models (LLMs) , which are powered by neural networks —computer systems designed to mimic the structures of brains. These LLMs are trained on a huge quantity of data (e.g., text, images) to recognize patterns that they then follow in the content they produce.

For example, a chatbot like ChatGPT generally has a good idea of what word should come next in a sentence because it has been trained on billions of sentences and “learned” what words are likely to appear, in what order, in each context.

This makes generative AI applications vulnerable to the problem of hallucination —errors in their outputs such as unjustified factual claims or visual bugs in generated images. These tools essentially “guess” what a good response to the prompt would be, and they have a pretty good success rate because of the large amount of training data they have to draw on, but they can and do go wrong.

Supervised learning should be used when your dataset consists of labeled data and your goal is to predict or classify new, unseen data based on the patterns learned from the labeled examples. 

Tasks like image classification, sentiment analysis, and predictive modeling are common in supervised learning.

Unsupervised learning should be used when your data is unlabeled and your goal is to discover the inherent structure or pattern in the data. 

This approach is helpful for tasks like clustering, association, and dimensionality reduction.

I n classification , the goal is to assign input data to specific, predefined categories. The output in classification is typically a label or a class from a set of predefined options.

In regression , the goal is to establish a relationship between input variables and the output. The output in regression is a real-valued number that can vary within a range.

In both supervised learning approaches the goal is to find patterns or relationships in the input data so we can accurately predict the desired outcomes. The difference is that classification predicts categorical classes (like spam), while regression predicts continuous numerical values (like age, income, or temperature).

Generative art  is art that has been created (generated) by some sort of autonomous system rather than directly by a human artist. Nowadays , the term is commonly used to refer to images created by generative AI tools like Midjourney and DALL-E. These tools use neural networks to create art automatically based on a prompt from the user (e.g., “an elephant painted in the style of Goya”).

However, the term has been in use since before this technology existed, and it can also refer to any technique use by an artist (or writer, musician, etc.) to create art according to a process that proceeds autonomously—i.e., outside of the artist’s direct control. Examples of generative art that does not involve AI include serialism in music and the cut-up technique in literature.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Deep reinforcement learning is the combination of deep learning and reinforcement learning .

• Deep learning is a collection of techniques using artificial neural networks that mimic the structure of the human brain. With deep learning, computers can recognize complex patterns in large amounts of data, extract insights, or make predictions, without being explicitly programmed to do so. The training can consist of supervised learning , unsupervised learning , or reinforcement learning.
• Reinforcement learning (RL) is a learning mode in which a computer interacts with an environment, receives feedback and, based on that, adjusts its decision-making strategy.
• Deep reinforcement learning is a specialized form of RL that utilizes deep neural networks to solve more complex problems. In deep reinforcement learning, we combine the pattern recognition strengths of deep learning and neural networks with the feedback-based learning of RL.

A key challenge that arises in reinforcement learning (RL) is the trade-off between exploration and exploitation . This challenge is unique to RL and doesn’t arise in supervised or unsupervised learning .

Exploration is any action that lets the agent discover new features about the environment, while exploitation is capitalizing on knowledge already gained. If the agent continues to exploit only past experiences, it is likely to get stuck in a suboptimal policy. On the other hand, if it continues to explore without exploiting, it might never find a good policy.

An agent must find the right balance between the two so that it can discover the optimal policy that yields the maximum rewards.

Algorithms and computer programs are sometimes used interchangeably, but they refer to two distinct but interrelated concepts.

• An algorithm is a step-by-step instruction for solving a problem that is precise yet general.
• Computer programs are specific implementations of an algorithm in a specific programming language. In other words, the algorithm is the high-level description of an idea, while the program is the actual implementation of that idea.

Algorithms and artificial intelligence (AI) are not the same, however they are closely related.

• Artificial intelligence is a broad term describing computer systems performing tasks usually associated with human intelligence like decision-making, pattern recognition, or learning from experience.
• Algorithms are the instructions that AI uses to carry out these tasks, therefore we could say that algorithms are the building blocks of AI—even though AI involves more advanced capabilities beyond just following instructions.

In computer science, an algorithm is a list of unambiguous instructions that specify successive steps to solve a problem or perform a task. Algorithms help computers execute tasks like playing games or sorting a list of numbers. In other words, computers use algorithms to understand what to do and give you the result you need.

Algorithms are valuable to us because they:

• Form the basis of much of the technology we use in our daily lives, from mobile apps to search engines.
• Power innovations in various industries that augment our abilities (e.g., AI assistants or medical diagnosis).
• Help analyze large volumes of data, discover patterns and make informed decisions in a fast and efficient way, at a scale humans are simply not able to do.
• Automate processes. By streamlining tasks, algorithms increase efficiency, reduce errors, and save valuable time.

Grammarly Premium is one of the pricier writing assistant subscriptions. For example, QuillBot offers many of the same tools and features that Grammarly does at a more reasonable price.

Read our full Grammarly review .

Grammarly corrects spelling, grammar, and punctuation errors while also enhancing other areas of your writing. Similar to other writing assistants, including QuillBot, Grammarly incorporates artificial intelligence (AI) and custom-created rules and patterns to revise mistakes and other imperfections in your text.

Grammarly Premium is more expensive than many other writing assistants. QuillBot, for example, provides many of the same tools and features at a more affordable rate.

• Grammarly costs $144 annually, whereas QuillBot costs $99.95 annually.
• Grammarly offers quarterly subscriptions for $60 ($20 per month), whereas QuillBot offers a semi-annual subscription that costs $79.95 ($13.33 per month).
• When billed monthly, Grammarly costs $30 whereas QuillBot costs $19.95

For more information, read our full Grammarly review .

Full access to Originality.ai’s tools requires user registration and payment.

Originality.ai does offer free, limited access to some of its features. For example, its AI checker provides three free scans per day, with a 300-word limit per scan.

Originality.ai offers two pricing options. The pay-as-you-go option costs $30 and includes 3,000 credits, while the base subscription costs $14.95 per month and includes 2,000 monthly credits.

Each credit can be used to check 100 words for plagiarism and AI detection, or 10 words for fact checking.

Writers should strongly consider using the AI checker and additional tools provided by either Originality.ai, QuillBot, or other alternatives. Because of the advancements in AI, many publishers and clients rely on these tools to evaluate and authenticate content. Using these tools allows writers to be proactive and check whether their writing appears to be AI-generated.

Publishers and other businesses managing multiple writers should consider employing the AI checker and various tools offered by Originality.ai, QuillBot, or other alternatives. Despite the advancements in AI, relying solely on AI-generated text can be detrimental to any business. These tools make it easy to ensure that the content you publish is credible, original, and human-written.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated—for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

No, it’s not a good idea to do so in general—first, because it’s normally considered plagiarism or academic dishonesty to represent someone else’s work as your own (even if that “someone” is an AI language model). Even if you cite ChatGPT , you’ll still be penalized unless this is specifically allowed by your university . Institutions may use AI detectors to enforce these rules.

Second, ChatGPT can recombine existing texts, but it cannot really generate new knowledge. And it lacks specialist knowledge of academic topics. Therefore, it is not possible to obtain original research results, and the text produced may contain factual errors.

However, you can usually still use ChatGPT for assignments in other ways, as a source of inspiration and feedback.

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers—encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivize it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

ChatGPT is owned by OpenAI , the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT , OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication.” This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal. AI detectors may be used to detect ChatGPT content.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

GPT  stands for “generative pre-trained transformer,” which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarize text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarizing tool , and grammar checker , which are designed specifically for these purposes.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

You can use ChatGPT to assist in the writing process for your research paper , thesis , or dissertation in the following ways:

• Developing a research question
• Creating an outline
• Generating literature ideas
• Paraphrasing text
• Getting feedback

Our research into the best summary generators (aka summarizers or summarizing tools) found that the best summarizer available is the one offered by QuillBot.

While many summarizers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarize texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favor this specific population over others.

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognize objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognize objects from new data.

ChatGPT prompts   are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up.” You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs $20 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

It’s not clear whether ChatGPT will stop being available for free in the future—and if so, when. The tool was originally released in November 2022 as a “research preview.” It was released for free so that the model could be tested on a very large user base.

The framing of the tool as a “preview” suggests that it may not be available for free in the long run, but so far, no plans have been announced to end free access to the tool.

A premium version, ChatGPT Plus, is available for $20 a month and provides access to features like GPT-4, a more advanced version of the model. It may be that this is the only way OpenAI (the publisher of ChatGPT) plans to monetize it and that the basic version will remain free. Or it may be that the high costs of running the tool’s servers lead them to end the free version in the future. We don’t know yet.

ChatGPT is currently free to use. You just have to sign up for a free account (using your email address or your Google account), and you can start using the tool immediately. It’s possible that the tool will require a subscription to use in the future, but no plans for this have been announced so far.

A premium subscription for the tool is available, however. It’s called ChatGPT Plus and costs $20 a month. It gets you access to features like GPT-4 (a more advanced version of the model) and faster responses. But it’s entirely optional: you only need to subscribe if you want these advanced features.

ChatGPT was publicly released on November 30, 2022. At the time of its release, it was described as a “research preview,” but it is still available now, and no plans have been announced so far to take it offline or charge for access.

ChatGPT continues to receive updates adding more features and fixing bugs. The most recent update at the time of writing was on May 24, 2023.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

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Microsoft 365 Life Hacks > Everyday AI > 5 tips to write better AI prompts

5 tips to write better AI prompts

Generative AI has the ongoing ability to provide the answers and results that you need, but since it depends on what is being looked for, it’s only as good as the prompts that you give it. Discover some tips on how to write strong AI prompts and frame your questions so you can get the most out of these advanced tools.

What are AI prompts?

An AI prompt functions as a conversation starter. The instructions and requests that you input into the text window of an AI tool will determine the result that you get. These results depend on the word usage and phrasing of your prompts, the length and specificity, and any context you can provide it.

Because AI is so open-ended, writing and honing the most accurate prompt can seem nearly limitless. The more that you familiarize yourself with AI tools, the more that this open-endedness will seem beneficial.

Tips for crafting an effective AI prompt

There are no limits to an AI prompt; it can be as simple as a phrase or include multiple detailed paragraphs. However, if you want results tailored to your needs, these tips can inform your inputs:

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Determine your goals

What kind of answer are you looking for: a to-do list and a schedule, a few bulleted points of advice, or a fully formed passage that fits a certain style of writing? The way you frame a prompt shapes the AI tool’s output.

Write simply and directly

Be clear and concise when you frame your question or request, without adding extraneous details that might steer AI into an unwanted direction. Be sure to ask AI for one task at a time, otherwise you might get jumbled results.

Be specific

Relatively few AI-generated answers are one-size-fits-all, so it’s important to add any details that relate to your life or your needs. For example, if you’re asking AI to create a fitness plan , tell the tool your goals and timeframe, your current mobility and strength levels, and other details that work specifically for you. Ask open-ended questions. Instead of relying on true/false answers, ask for pros and cons.

Add necessary context

Context is key for tailoring AI results to your exact needs. If you’re asking AI for recipe advice , add some helpful context. For example, are you throwing an Italian dinner party for your closest friends, one of whom is gluten-free? Be sure to mention this so that your response can be better personalized to what you’re looking for. This strategy is especially helpful for generating specific writing projects such as party invitations, postcards , or other ways for assisting with creative endeavors.

Expand on details

If you want more information on an aspect of your AI-generated results, ask away! Perhaps a question about vacation activities mentions outdoor hiking, which might pique your interest. Or the fitness plan involves kettlebells, a fitness routine you’re unfamiliar but interested in. You can ask a follow-up question while preserving your initial results.

AI isn’t perfect, nor can it read your mind; therefore, you might not get the result that you need or that you want to use the first time you try. Refine your AI prompts or start over from scratch, if necessary.

No matter what your everyday task is, you can get the most out of AI by using strong prompts—especially when you expand and add context. Check out more everyday AI tips to enhance your daily routine.

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