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About GenAI+U: a student learning experience
1. Test your knowledge of GenAI
2. How does Generative AI work?
3. Capabilities of GenAI
4. Limitations of GenAI
5. Considerations when using GenAI
6. Case Study: Using GenAI to search for health information
7. Case Study: GenAI vs Library databases
8. Case Study: Gray Duck or Goose
9. Case Study: Using GenAI for research
10. Knowledge check - assess your GenAI knowledge
11. Lesson 1 recap
12. Effective and ethical prompting
13. Copyright, intellectual property, and GenAI
14. Data bias and transparency in GenAI
15. Equity, access, and GenAI
16. Output reliability and GenAI
17. Evaluating AI output
18. Environmental impact and GenAI
19. Case Study: Using AI in a class group project
20. Case Study: GenAI peer review
21. Case Study: Kendrick Lamar and Drake conflict
22. Case Study: Miniature Highland cows
23. Case Study: Using GenAI for research - revisited
24. Knowledge check - ethical considerations and evaluating outputs
25. Lesson 2 recap
26. Cognitive offloading, deskilling and neverskilling
27. When can you use GenAI in your academic work?
28. Case Study: revisiting Amina, Diego and Joe
29. Case Study: GenAI as a study tool
30. Case Study: AI and research papers
31. Case Study: Summarizing arguments
32. Case Study: Comparing uses
33. Knowledge Check: Learning with GenAI
34. Lesson 3 recap
References and acknowledgements
Glossary
Certificate of Completion: GenAI+U
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GenAI+U: A Student Learning Experience Copyright © 2025 by University of Minnesota Libraries is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.