Instructional Design

Generative AI (like ChatGPT, Copilot, and Perplexity) is changing teaching and learning. In this session, we will try to cover some of the most common areas of concern and answer your questions. Topics covered in this session include:

• University policy regarding AI
• What to include in your syllabus and assignment instructions
• Update on AI text detection
• Suggested tools
• Teaching tips

Please note: This session will not be recorded. If you are unable to attend the session, please see UM Academic Technology's webpage on Artificial Intelligence and our training videos. As always, feel free to schedule a 1:1 consultation or contact us if you have any questions.

The topic of this session is leveraging AI for creating course content. Currently, Canvas does not have an active, integrated AI component, but AI tools such as Chat-GPT, Gemini and Copilot are handy for developing course materials, particularly more rote content such as syllabi and lesson planning. Beyond structural considerations, AI can assist with brainstorming lecture, project and assignment materials. Optimally, AI can enhance your vision for the course without replacing it. Some examples we will look at in this session:

• Using AI to create a syllabus
• Using AI to create a lesson plan
• Using AI to create a rubric (note that a rubric cannot be imported into the Canvas rubric tool; it would need to be copied/pasted in)

We can also use AI for suggestions on assignments and quiz questions. AI is, in the words of Wharton professor and AI researcher Ethan Mollick, a "co-intelligence" that feels like a collaborator but is only reflecting back what you put into it.

Please note: This session will not be recorded. If you are unable to attend the session, please see UM Academic Technology's webpage on Artificial Intelligence and our training videos. As always, feel free to schedule a 1:1 consultation or contact us if you have any questions.