It is now easier than ever for instructors to experiment with generative AI and leverage its power in course design. The learning experience designers and pedagogical experts at the Center for Academic Innovation are constantly experimenting and testing generative AI’s capabilities. The center provides faculty opportunities to better acquire the foundational knowledge they need to begin their Generative AI journey.
Generative AI Resources
Are you looking for inspiration for using generative AI in your online course design? Or do you want to explore ways AI can serve as a study tool for your students? Explore some of the generative AI articles written by the center’s experts.
Generative AI for Course Design: Crafting Learning Objectives
Generative AI for Course Design: Writing Effective Prompts for Multiple Choice Question Development
GenAI and Academic Integrity in Online Courses
Roundup on Research: Examining Feedback, GenAI, and Instructor Presence
Build a GenAI-Resilient Course
Using Generative AI to Summarize Key Points
Using Generative AI to Make Language More Accessible
Roundup on Research: Building Trust into Your Assessments in the Age of AI
Experiment, Reflect, Create: Teaching AI for Public Good
Presence Meets Prompts in AI-Supported Language Course
The Right Tool for the Job: Metacognitive Processes and AI
Foundational Learning in Generative AI
The center is teaming with faculty throughout U-M to create courses that give you a foundational understanding of generative AI, ethical considerations, and potential use cases.
Additional Resources on AI
Resources are available to instructors throughout U-M looking to build their skills and knowledge in generative AI. Information & Technology Services offers info on U-M’s generative AI tools, including U-M GPT and U-M Maizey. The Center for Research on Learning & Teaching has resources and hosts and sponsors events, including those related to generative AI.