Resources
There are many resources available to you:
- AI Services and Roadmap lists the tools currently available at the University of Missouri System, both free and premium, along with data classification levels and how to access.
- Data Classification Levels defines the four different data levels of content and provides examples of what each level represents. Tools need to be approved for DCL-3 and above in order to use with student data.
- AI training and resources includes links to training, guidelines, news and events, as well as resources for instructors and students.
Best practices
Learn the basics of AI and how to use it to gain a better understanding of how it can help you, how your students can use it and how to help them use it responsibly.
- What is generative AI, and how do I use it?
- Generative AI training walks you through the basics of AI to implementation.
Have an AI usage policy outlined in your syllabus (required). Be clear and specific about what can and cannot be used. For even better results, consider specifying approved usage for each assignment.
- How do I set and communicate an AI policy?
- Mizzou Syllabus Information includes sample syllabus statements regarding AI.
- AI syllabus information details syllabus creation guidelines and provides additional template resources.
Use AI to help you create course content, but be sure to check results before publishing. AI is a great resource for helping with creating grading rubrics, assignments (both to use with AI and without), discussion questions and more. At the same time, AI is not always accurate; it can have bias, it can hallucinate and create false information, and output from AI tools should never just be copied and pasted for use.
- Teaching Strategies & Reflections on AI is an open resource published by the MU Teaching for Learning Center (MU T4LC).
- AI Cookbook: Recipes and More is an open resource published by the University of Missouri. It offers practical AI strategies for educators, inspired by the University of Florida's work.
Acknowledge the use of AI. It’s best to do what you expect students to do and acknowledge the use of AI when developing assignments or other course materials. This sets a great example.
- Practicing What We Preach, a presentation by Kirk Wilkins (Mizzou Online).
- Citation and Attribution with AI Tools a library resource guide maintained by Brown University Library.
- Generative AI for students, a resource page you can link to in your class.
- Student Guide to Artificial Intelligence, produced by Elon University.
Incorporate the new AI Ethics Module into your class to help students reflect on the learning and societal impacts of AI.
- New AI Ethics Module from MU T4LC.
Consider using an AI icebreaker activity. Not all students know how to use AI or even understand its capabilities. A fun icebreaker activity can help students learn to use AI, as well as ensure everyone has a baseline knowledge.
- Introductory Discussion (Icebreaker) Recipe from the AI Cookbook.
Highlight ways AI is being used in your specific field. It’s critical that students understand how AI is being used in the jobs they will be pursuing after they graduate. This varies by field and will have different expectations of knowledge and experience.
Things not to do
Do not use AI for grading. Currently, this is a large grey area with lots of potential issues. Free tools cannot be used for any student data or assignments. AI tools that are approved for DCL-3 (required for FERPA) are currently very limited in terms of access.
Do not put student data or assignments into AI. Student data and completed assignments are protected by FERPA and therefore require tools approved for DCL-3. ChatGPT Enterprise and Microsoft 365 Copilot are approved for DCL-3; find information about obtaining access on the Division of IT (DoIT)’s AI Services and Roadmap webpage. Show-Me AI is also approved for DLC-3 data, however, it is currently in a proof-of-concept stage and only available to Mizzou faculty and students.
Do not require AI usage. Allow students to opt out. This is important for AI-heavy assignments or assignments where AI usage is encouraged. Some students are not comfortable using it, so having an alternative is crucial.
Do not use unapproved AI tools. The Division of IT reviews AI tools for approval. DoIT may be able to approve a tool for use if needed for specialty cases but check first before implementing. Otherwise, using the currently approved and available tools is recommended.
Do not rely on AI detectors. You shouldn’t rely on the results from an AI detector as these tools simply aren’t reliable enough in detecting usage. At best, they are indicative of possible use, and that is it. Consider trying to structure writing assignments in a way that discourages AI use.