Contents

1. To the Reader

2. Thank you!

3. I. Overview

   1. 1. AI Capabilities

   2. 2. AI in Society: Ethical and Legal Issues

   3. 3. Pros and Cons in Higher Education

   4. 4. AI Capabilities at the Institutional Level

   5. 5. AI Capabilities for Students

   6. 6. AI Capabilities for Faculty

4. II. Guide to Pedagogical Uses of AI

   1. 7. How AI Tools Can Support Teaching

   2. 8. Preparing Students for the Future: Teaching AI Literacy

   3. 9. Considerations for Online Classes

   4. 10. Accessibility

   5. 11. Lab Reports

   6. 12. Writing Assignments

   7. 13. Setting Expectations in Your Classes

   8. 14. Student Evaluation Practices and Assessment Strategies

   9. 15. Alternative Grading Strategies

   10. 16. In-Class Activities

   11. 17. Challenges with AI Detection Products

   12. 18. Using AI Tools to Promote Student Learning and Success

5. III. Guide To Identifying and Evaluating AI Tools for Higher Education

   1. 19. Strategies for Pedagogical Evaluation

   2. 20. Strategies for Technology Evaluation:

   3. 21. Strategies for Accessibility and DEI Evaluation

6. References

7. Appendix A: Timeline

8. Appendix B: AI Tool Evaluation Examples

9. Appendix C: Glossary

10. Appendix D: Contributors