
eBook - ePub
Optimizing AI in Higher Education
SUNY FACT² Guide, Second Edition
- 121 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Optimizing AI in Higher Education
SUNY FACT² Guide, Second Edition
About this book
In this Optimizing AI in Higher Education: SUNY FACT² Guide, Second Edition, you will find updated information to reflect the changing landscape of generative AI technology. We offer practical suggestions for how to help educators and students achieve AI literacy and find the right methods of using or eschewing generative AI in their pedagogy. The second edition represents both an update to the first Guide, but also a recognition of the fact that generative AI is a tool in constant development; we will continue to advocate for equitable education and access for all students and educators as this dynamic and innovative field continues to grow.
The book results from a Task Group charged by the FACT2 Council with
Judith Littlejohn as Chair. Co-chairs Billie Franchini and Jeffrey
Riman, who also served as editors, led the Task Group's year-long
efforts.
This textbook is part of a collection of course materials available to students because of a collaboration between SUNY OER Services and 64 ink™, an imprint of SUNY Press. All of the course materials in this program were created or adapted by SUNY faculty. Individuals may order print copies directly from the SUNY Press website. Bookstores may purchase books by contacting SUNY Press Customer Service at 877-204-6073 or 703-661-1575.
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Yes, you can access Optimizing AI in Higher Education by Lynn Aaron,Santina Abbate,Nicola Marae Allain,Bridget Almas,Brian Fallon,Dana Gavin,C. (Barrett) Gordon,Margarete Jadamec,Adele Merlino,Laura Pierie,Gina Solano,David Wolf in PDF and/or ePUB format, as well as other popular books in Education & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Title Page
- Copyright
- Table Of Contents
- Executive Summary
- Foreword
- To The Reader
- Acknowledgements
- AI in Context
- Policy Considerations in Teaching and Education
- AI in Course Development and Assessment
- AI in Student Research and Creative Works
- Evaluating AI Tools in Higher Education
- Special Section: A Brief History of AI
- Conclusion
- Appendix A: Timeline
- Appendix B: Algorithmic/Machine-Learning Bias
- Appendix C: AI Tool Evaluation Examples
- Appendix D: Glossary
- References