AI & Higher Education

The CETL provides programming and resources on the impact of generative AI on teaching and learning in higher education, all in support of MGA's Strategic Plan. Resources related to generative AI are available below and in the Faculty Toolbox. 

 

Setting Expectations in Your Course: Generative AI & Coursework

Provide clear directions to your students about how they can use generative AI in your course, if at all. Without specificity and clarity from you, some students might assume incorrectly about your requirements for the course. You might consider the traffic light model:

  • Green Light

  • Yellow Light

  • Red Light

Students can use generative AI in whatever ways they want for your course, and they must cite any AI-generated information/work that they submit and/or upload.

Example of a language reflecting a green-light approach:

“Feel free to discuss your ideas and collaborate with others, including using generative AI tools. Ensure that any work not originally created by you is properly cited with appropriate sources.”

The traffic light metaphor is a good place to start. If you would like to do a deeper dive, consider the AI Assessment Scale (AIAS) by Perkins, Furze, Roe, and MacVaugh (2024).

 

Recommended Readings & Resources

 

Frequently Asked Questions

Browse these frequently asked questions for recommended next steps. Have questions or concerns about AI? Book a 1-on-1 appointment with a CETL staff for personalized assistance.

 

Generative AI Tools

Note: The generative AI tools listed below are provided for informational purposes only and are not endorsed by the university. These tools include a free component, but may require a login. Before using a tool, review all related data and privacy policies.