Welcome to the CTL’s Comprehensive Toolkit on AI in Education
This guide serves as your primer on integrating Artificial Intelligence (AI) and generative AI technologies, like ChatGPT, into the academic environment at Moraine Valley Community College (MVCC). Our aim is to help you to navigate these innovative tools within the framework of academic integrity, providing both insights and practical applications.
Artificial Intelligence – MVCC Policy Statement
Crafting Instructor/Course Specific Syllabus Statements
Exploring AI Detection Tools and Identifying Red Flags
Steps to Take If You Suspect Unauthorized A.I. Use
Using AI Generative Technology
Artificial Intelligence MVCC Policy Statement
Below you can find the MVCC college-wide statement on generative AI and ChatGPT use in the classroom. Please include this in your syllabi.
“All students are expected to maintain academic integrity in their academic work and honesty in all dealings with the College. A student who cheats, plagiarizes, or furnishes false, misleading information to the College violates the academic integrity code of conduct.
With an increase in the availability of online writing tools, students should be aware that submitting work created by AI software could be considered plagiarism unless an instructor has pre-approved its use.”
We also suggest you consider crafting a course specific AI policy that gives students guidelines that are more specific to your course. We share some resources on this in the next section.
Crafting Instructor/Course Specific Syllabus Statements
The inclusion of AI technologies in coursework prompts a need for clear guidelines within your syllabi. A discussion of generative AI in your syllabus and in the classroom can help students to better understand these tools and can also help to prevent misuse. You will generally want to consider whether you would like to use a strictly prohibitive statement, a flexible/partial use statement or a wider use statement. As you consider your policy, you may want to use the resources below.
- Laura Lauzen-Collins has a document with research on syllabus statements regarding AI content which may be helpful, including prohibitive, partial use, and wider use policies, to guide your own syllabus development.
- From AI to A+: Prepare your students for using ChatGPT and other AI
- This first article introduces the concept of using green, yellow and red coding for your students to help them to understand when it is acceptable for them to use AI and when it is not.
- Update your course syllabus
- This article helps guide you through some of what you might want to consider as you update your syllabus (this article is a bit older).
- Implementation after Artificial Intelligence Workshop #2: How to Create an AI policy (1 hour webinar)
- The document that is attached to this webinar is incredibly helpful in guiding you through how to think through your statement
- Course policies and syllabi statements (University of Michigan)
- This site gives guidance about what to consider for a syllabus statement
- Massive Google Doc of Syllabus Statements: A collaborative document sharing various syllabus statements on AI use from institutions worldwide.
Exploring AI Detection Tools and Identifying Red Flags
The current landscape for AI detection tools is rapidly evolving, yet no foolproof system exists. Educators are encouraged to view these tools as part of a broader dialogue about academic integrity rather than definitive solutions. Many tools are currently available to detect AI. None of them are completely accurate, but the three below do fairly well in differentiating AI and human writing.
- GPTZero: A tool designed for educators to detect potential AI-generated text. This tool was trained on student writing and is meant for educational settings.
- ZeroGPT: Offers more extensive analysis capabilities in its free version.
- Copyleaks: A comprehensive plagiarism detection service with AI-specific features. A study from Cornell found it beat GPTZero, but you do need to pay for an account.
- Other detectors available: This is an article covering the “12 best AI detectors for 2024” Please note that different sites promote different AI detection tools. This is just one example.
Given that these tools are not completely reliable or valid, it is advisable to use more than one AI detector when you have concerns with a piece of student writing. It can also be helpful to look for red flags. Below are some common red flags* and then a few links to sites that discuss this in more depth.
- Using complex phrases and terms that a typical student would not use.
- Writing that does not match the directions.
- AI language generators often guess at sources it is not familiar with and say things like “The book “Prophet Song” probably covers . . .”.
- Perfect grammar and spelling
- Vague or generic – Can lack emotional quality or tone (lack of personal touch)
- Unnecessary verbosity and extra transitions
- Uniformity in sentence length and structure – repetitive content
- Includes made-up sources
- AI writing detection: Red Flags (Montclair State University)
- Unmasking AI: A guide to detecting artificially generated content (AIContentfy)
- Professor guide to AI detection (Packback)
*It is worth always keeping in mind the words of AI in higher education expert Ethan Mollick, “You might think you are good at detecting AI writing, but you are just okay at detecting bad AI writing, and you combine that with your own biases and heuristics about who might be using AI.“
- Both parts of this statement are so important. First, ‘you are just okay at detecting bad AI writing.’ That means that we are not going to be able to detect skilled use of AI for writing. If students want their AI writing to be undetectable there are many free tools out there that can do that for them. Second, ‘you combine that with your own biases and heuristics about who might be using AI.’ This refers to the facts that we all have biases and assumptions about different kinds of students and who is and is not likely to cheat. These biases and heuristics have varying degrees of accuracy, but even the most accurate heuristic is wrong some of the time.
- Remember that a positive result from an AI detector and a few red flags are NOT definitive judgments of academic misconduct. They are only indicators that the writing requires further scrutiny and human judgment from the faculty, along with the application of their specific academic policies and expectations. Positives can be challenged by students who can provide evidence of their originality and writing process, such as drafts, notes, sources, etc. Faculty should be open to having non-accusatory conversations with students and listen to their explanations. Remember that you will be wrong at least some of the time and when you inaccurately accuse an innocent student of cheating, you may contribute to some serious and negative life-altering consequences.
Current State of AI Detection:
There are a number of challenges in using AI detection tools. A few of these challenges include:
- Complexity of AI-generated Content: The ability of AI to mimic human writing styles closely makes it difficult for detection tools to accurately distinguish between human and AI-generated texts.
- Bias: Detection algorithms may disproportionately flag content from neurodivergent individuals or non-native English speakers as AI-generated, introducing bias.
- Evasion Techniques: As users and developers of AI writing tools devise methods to bypass detection, maintaining effective detection capabilities becomes increasingly challenging.
- Reliability: The consistency of AI detection tools is a concern, with some tools providing contradictory assessments for the same content.
- Grammar-based tools: Grammar tools such as Grammarly can reword phrases and sentences using AI. This rephrasing commonly triggers AI detection. You need to decide whether these tools are acceptable to use in your classes.
The accuracy of AI detection tools varies, with most achieving moderate success at best. Their ability to identify AI-generated content is often outpaced by the advancements in AI technology, leading to a continuous cat-and-mouse game between generation and detection capabilities.
The occurrence of false positives, where human-generated content is misidentified as AI-generated, can have severe consequences. It risks unjust accusations of academic dishonesty, potentially damaging students’ reputations and trust in the educational system. Educators are strongly encouraged to use AI detection tools judiciously, emphasizing dialogue and additional verification methods over sole reliance on these tools.
Remember that false positives are more likely when:
- the writing sample is shorter
- the writing follows a stylized pattern (like a list)
- the writer has a more rigid communication style
- the writer uses an AI-based tool such as Grammarly or Quillbot to help refine their writing
Here are a few resources to explore on the effectiveness and use of AI detectors:
- Professors cautious of tools to detect AI-generated writing (Inside higher ed article)
- Combatting academic dishonesty, part 6: ChatGPT, AI, and academic integrity (University of Chicago)
- What people ask me most (Mollick substack)
- OpenAI scuttles AI written text detector over low rate of accuracy (techcrunch article)
- AI detectors are not reliable and often generate discriminatory false positives (Bauschard substack)
- Can AI detectors save us from ChatGPT? I tried 5 online tools to find out
- In this article, the author used five different detectors. He concluded that there were many problems with AI detection tools currently available
- AI detectors are not reliable and often generate discriminatory false positives (Bauschard substack)
- In this article, they talk about why these detectors are not effective and the ways in which they can be discriminator
- Guidance on AI detection and why we’re disabling Turnitin’s AI detector
- This is from Vanderbilt. It is an interesting assessment of why they, as a university, decided to turn off the AI detection from Turnitin.
- Prof accused of being AI bot
- In this article, a neurodivergent professor discusses how their writing get disproportionately flagged as being AI generated.
- AI-detectors biased against non-native English writers
- Individuals who have learned English as a second language are more likely to have their writing tagged as being AI generated.
- Detecting LLM-Generated text in computing education: A comparative study for ChatGPT cases
- This is a peer-reviewed article that pits some of the most popular AI detectors against one another. It was published in July.
- The future of integrity in the brave new world of AI (40 min video)
- This a long video, but it has both the CEO of Turnitin and the creator of GPTzero, as well as others, in a roundtable-like discussion focused on integrity and AI
- Artificial intelligence, ChatGPT, and academic integrity – the implications for higher education (90 min video)
- This was a webinar specifically made for faculty and administrators at Dalhousie University (a university in Nova Scotia).
- Can AI-generated text be reliably detected?
Steps to Take If You Suspect Unauthorized A.I. Use
When you suspect a student may have inappropriately used AI, we suggest that you do the following:
- Initial suspicions and observations. You need to start with familiarizing yourself with the student’s typical writing style and patterns. Anomalies in writing style or unexpected depths of knowledge in submitted work can be initial indicators of AI use. You can also check the red flags that are discussed elsewhere in this toolkit.
- Check your biases. On what are you basing your belief of dishonesty? If another student had turned in the same work, would you have the same suspicions. Because we do not have strong AI detection tools currently, it is important to acknowledge that a significant amount of intuitive evaluation is needed to identify red flags.
- Use of detection tools. Cautiously deploy the use of AI detection tools with the complete understanding that these tools are not foolproof and can produce both false negatives and false positives. One or two checks through an AI detection tool should be a part of a broader strategy rather than on absolute proof. When using detection tools and your own intuition, be careful of falsely accusing students. Using AI detectors can provide you with some additional information, but it should never be used as absolute proof of a student’s AI use. Also consider the biases of the AI detector tools, such as their tendency to misidentify neurodivergent writing and ESL writing as AI writing.
- Ask a student to meet with you. When you request the meeting, use nonconfrontational language. You may want to say something like, “I’d like to meet with you about your assignment. I have some concerns.” When meeting with the student, it is a good idea to not be accusatory. It is important to remember that you can almost never be completely certain of their AI use. It is a good idea to ask them to share their writing process with you. You can ask them how they felt about the assignment and what the assignment initially brought to mind for them. You can ask them what was challenging about it and also what their process was. You can also ask about what resources they used. You can also ask them about the knowledge demonstrated in their writing. This can help you to determine whether the student has genuine knowledge and understanding of the content. You should then state your concerns clearly, such as “I am concerned about your writing for this assignment because it does not seem to match what I have received from you in the past. There were also a number of red flags in your writing that fit with AI writing. Additionally, the AI detector flagged your work for AI use.” Then you should point out the red flags and inconsistencies.
- Be aware that the student may not understand that their use was inappropriate. Many students use Grammarly Premium and other grammar-based tools and these tools can be used to rephrase students’ original writing. Students may not understand that this is not allowed. A powerful prevention technique is having several conversations with students at the start of the semester and then throughout the course about what is appropriate and inappropriate use with an emphasis on tools that students may not see as being AI.
- Apply the policy in your syllabus. When developing these policies, you should consult with your department to get a feeling for what a reasonable penalty would be or perhaps to create a departmental policy together. Please do remember that we are in a early stage of this new technology and so it may be worth considering giving students the option to redo the assignment if they are honest and use it as a learning opportunity.
Using ChatGPT and AI Generative Technology:
Resources: Below you will find a selection of resources to understand the potential and pitfalls of AI in academic settings. From generating dynamic content to fostering personalized learning experiences, AI tools offer a variety of opportunities for educational enhancement.
- Fantastic videos on AI for college instructors
- This course is really a fantastic introduction to generative AI for college faculty. It is a five part youtube series with each part only being about 10 minutes in length. It was developed by Ethan and Lilach Mollick from the Wharton School. We highly recommend it.
- Part 1: Introduction to AI for teachers and students (10 min)
- Part 2: Large Language Models (13 min)
- Part 3: Prompting AI (12 min)
- Part 4: AI for teachers (13 min)
- Part 5: AI for students (10 min)
- Below are two quick videos from Temple University that are also both absolutely worth the quick watch
- This course is really a fantastic introduction to generative AI for college faculty. It is a five part youtube series with each part only being about 10 minutes in length. It was developed by Ethan and Lilach Mollick from the Wharton School. We highly recommend it.
- Writing Prompts
- “Prompt writing” is the term used for writing the instructions for a generative AI model. Generally, you just need to use regular everyday wording that you would use with speaking. However, there are some really good pieces of advice that help “prompts” to be more effective.
- AI prompts for teaching: A spellbook
- This is a truly fantastic tool for starting to use and understand the LLM tools that are available. It is a large google doc put together by Cynthia Alby containing many, many pages of prompts to help you to navigate how to get AI models to give you the information that you need.
- Master the Perfect ChatGPT Prompt Formula (8 min, 30 sec)
- A really good, quick prompt engineering video. Seriously, this video is really helpful!
- A teacher’s prompt guide to ChatGPT
- aligned with ‘What works best’
- Prompt engineering course: How to effectively use ChatGPT and other AI language models
- This is a free youtube-based tutorial with 8 quick lessons
- Prompt engineering for ChatGPT
- This is a free course from Vanderbilt on Coursera. It is much more involved than the youtube one, but it is still free.
- There are also a number of courses on Udemy and other MOOC-like (Massively Open Online Courses) sites as well
- AI prompts for teaching: A spellbook
- “Prompt writing” is the term used for writing the instructions for a generative AI model. Generally, you just need to use regular everyday wording that you would use with speaking. However, there are some really good pieces of advice that help “prompts” to be more effective.
- Preventing AI use
- Teaching actual student writing in an AI world
- This article goes through 10 ‘solutions’. Some of these solutions are worth exploring and some are not going to be very effective. Please think back to the PowerPoint for some of the reasons why.
- Discouraging the use of AI content generation services
- There are some good ideas, though not all of them will work given the advances in the technology.
- Generative AI & the College Classroom
- This page also has some good ideas under ‘consider assignment design in the context of ChatGPT’.
- Teaching in the Age of AI
- Here is another university page, this time from Vanderbilt, that discusses some suggestions. If you open the page and then do a search for ‘localize assignments’ then it will bring you to the right section.
- Teaching actual student writing in an AI world
- Instructor Tools
- AI prompts for teaching: A spellbook
- This is a truly fantastic tool for starting to use and understand the LLM tools that are available. It is a large google doc put together by Cynthia Alby containing many, many pages of prompts to help you to navigate how to get AI models to give you the information that you need.
- ChatGPT and generative AI: 25 applications in teaching and assessment (Times Higher Education article)
- Using AI to make teaching easier and more impactful (one useful thing substack)
- 46 Best ChatGPT alternatives – useful tools for teachers
- There are hundreds of AI-based tools that have been developed over the last few years. This video just shows a sampling and it is still mind-boggling.
- Resource list from teachonline.ca
- If you scroll down to ‘learning experiences, course creation and learner support’, this site has many solid articles and videos to help with ideas for using AI in your courses.
- Resources on ChatGPT/AI and Education
- Massive Resource site for ChatGPT and AI resources for educator
- 101 Innovative Ways to Use CHATGPT in the Classroom: How to Use the AI Language Model to Enhance Teaching and Student Learning,
- A book by Skylar Green, independently published on April 19, 2023. It may offer inspiration for ways to embrace ChatGPT in the classroom. To view the book description and a list of ideas outlined in the table of contents, please follow the link to go to Amazon. Click the “View Sample” link below the image of the book to view the table of contents. The book is also available in the Library for checkout.
- 10 Tips on Teaching with AI in Higher Education
- Written by Stephanie Speicher, Digital Fluency Faculty in Residence, from Weber State University. This insightful blog post unfolds in 10 key segments, each featuring a question with its corresponding answer, an illustrative example, and a practical, human-centric tip designed to seamlessly integrate these concepts into your classroom
- Here is a sampling of a few more specific tools or ideas:
- How to cite ChatGPT (in APA style)
- How to site generative AI in MLA style
- https://www.hellohistory.ai/
- This is an app that allows you to “talk” to historical figures.
- 6 AI tools you’ll actually use for research
- This video covers some AI based tools that are quite useful for summarizing and organizing information. This could potentially be useful in a writing course
- https://www.historians.org/research-and-publications/perspectives-on-history/september-2023/students-critique-a-chatgpt-essay-a-classroom-experiment
- Above, there is the AI generated essay that was used in a class for the exercise below: https://www.jmu.edu/news/2023/10/25-ethics-of-ai-sidebar.shtml
- In this example, a history professor from James Madison University created an assignment that used critical thinking and AI in one of his classrooms.
- AI prompts for teaching: A spellbook
- Valuable Resource Sites
- AI truly is changing in meaningful ways very quickly. If you would like to try to keep tabs on some of these changes, you may want to consider listening to one of the podcasts below or following one or more of the substacks.
- Podcasts
- HardFork
- This podcast covers tech but focuses on AI. They have had a lot of really strong episodes on various issues connected to AI. This podcast is probably the most accessible to non-tech people.
- HardFork episode on education (start at 24:55 and play until 49:30)
- Data Skeptic
- The AI podcast
- Practical AI
- HardFork
- Substacks
- Ethan Mollick – AI in education: One Useful Thing
- He has many good articles that all focus on AI in higher education. Here are two really strong ones:
- Ethan Mollick has also published a book on AI called Co-Intelligence (published in April 2024)
- He has many good articles that all focus on AI in higher education. Here are two really strong ones:
- Stefan Bauschard – AI in education: Education disrupted
- Stefan also has many useful articles on the impact of AI on education.
- Bryan Alexander’s – Exploring where emerging AI might take colleges and universities
- Byran’s substack also explores how AI is impacting higher education.
- Ethan Mollick – AI in education: One Useful Thing
- News sites and article resource centers
- News on AI shifts weekly. Below you will find a few resources that may be helpful if you would like to keep up with new developments
- ChatGPT Resource Site
- This is fantastic site that keeps up with topics and news regarding ChatGPT in education
- Resources on ChatGPT/AI and Education
- This is a fantastic site to just keep access to and keep up on news
- View CTL posts related to Artificial Intelligence
- Other college and university sites
- Faculty Guide to A.I. (Temple University)
- This is a particularly helpful guide for faculty
- Faculty Guide to A.I. (Temple University)
- Podcasts
- AI truly is changing in meaningful ways very quickly. If you would like to try to keep tabs on some of these changes, you may want to consider listening to one of the podcasts below or following one or more of the substacks.
- Webinars and Long-Form Videos
- Moraine Valley Event
- What Does College Mean in the Age of AI?: A Faculty Discussion
- ChatGPT and AI’s effect on community colleges (1 hour, 10 min)
- Implementation after Artificial Intelligence Workshop #2: How to Create an AI policy (1 hour)
- How to create a generative AI policy that is right for you (file shared in webinar)
- Moraine Valley Event
Ethical considerations
AI brings some new ethical questions to the table as we consider our own approach to this technology and our students’ use. We have a number of resources below that may help you in identifying some of these issues.
- Ethics of AI use in academia
- Ethical considerations of using AI for academic purposes (popular press – ‘Unite.AI’)
- This page focuses on the ethics of students using AI.
- Thoughtful and ethical approaches to using AI in schools (popular press – ‘Medium’)
- This page focuses on the ethics of teachers use AI
- Instructure announces new product innovations and partnership with Khan Academy’s Khanmigo (Intelligent CIO)
- This article gives you a glimpse of where Canvas will be headed very soon. There are rumors of an AI-based TA. This article discusses a pilot program starting in the 24-25 academic year.
- On-boarding your AI intern (Ethan Mollick substack page)
- This is a fantastic page that may help you to break down how to think about using AI in your work.
- How the American Federation for teachers could be a positive force in an AI world (Stefan Bauschard substack post)
- This is a post with a lot of strong opinions and an interesting take.
- AI ethics in higher education w/Michael Littman (18 min)
- This is an interview from Brown University with Michael Littman. They discuss some of the ethical issues connected to AI use in education. That said, this came out BEFORE ChatGPT3.5 was widely released to the public.
- Ethical AI for Teaching and Learning (Cornell page)
- On this page, they primarily focus on equity issues, but they also briefly identify a number of other issues.
- Artificial intelligence in higher education: Benefits and ethics (Fierce Education)
- On this page, they briefly cover some of the ethical issues connected to AI. This was posted in December, right after ChatGPT became widely available.
- AI, ethics, and academia (59 min)
- This is from the Future trends forum. They discuss some of the implications of individualism on AI use.
- Why does higher education resist change? (57 min)
- This is from the Future Trends forum. They discuss why it is difficult for higher education to change. They interview the author of “‘Whatever it is, I’m against it’: Resistance to Change in Higher Education”.
- Artificial Intelligence and the future of Higher Education (42 min)
- The future of higher ed – This is another long video, but it also has some really great ideas and perspectives on AI and higher education.
- Machine learning, AI, the future of education (10 min TEDx talk)
- This is a pretty short introduction to some of the ways that AI will change learning and education. It is a pretty broad overview.
- Future of integrity in the brave new world of AI/GPT (40 min)
- This is a round table type of discussion with Turnitin and GPTZero founder. It was listed under optional resources last week.
- Ethical considerations of using AI for academic purposes (popular press – ‘Unite.AI’)
- Ethics concerns regarding image generation
- Many artists and writers are concerned about their work being used without their permission to train AI models. One potential solution for artists is a new program called “Nightshade”. This program works by poisoning the image that is being uploaded to online platforms in a way that impacts how the AI image generators “sees” the image but does not impact how the average person viewing the art online sees it.
- Series on ethical ways to create and use AI art (paid news platform – Medium):
- https://medium.com/the-generator/ethical-ways-to-create-and-use-ai-art-do-they-exist-part-i-21de8a0b3e6f (part 1)
- https://medium.com/the-generator/ethical-ways-to-create-and-use-ai-art-do-they-exist-part-ii-f3c7bd90855f (part 2)
- https://medium.com/the-generator/ethical-ways-to-create-and-use-ai-art-do-they-exist-part-iii-646898f54464 (part 3 – this article is accessible without any account)
- There are several AI image generators that promise to be more ethical, but many of them still have issues. Firefly from Adobe is probably the best known one. It is a paid service, though the amount that it pays artists is quite small (some artists have suggested the whole process is a scam).
- Many artists and writers are concerned about their work being used without their permission to train AI models. One potential solution for artists is a new program called “Nightshade”. This program works by poisoning the image that is being uploaded to online platforms in a way that impacts how the AI image generators “sees” the image but does not impact how the average person viewing the art online sees it.
Calls to Action
- Engage with Us: Participate in our workshops and webinars to explore the cutting-edge of AI in education.
- Explore Further: Access our extensive collection of AI tools, educational resources, and ethical guidelines.
- Share Your Experiences: Contribute to our collective understanding by sharing your insights and strategies for integrating AI into your teaching practices.
By fostering an informed and ethical approach to the use of AI technologies, we can enhance the educational experience at Moraine Valley Community College, ensuring that we remain at the forefront of academic excellence and innovation.