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Optimizing AI in Higher Education : SUNY FACT² Guide, Second Edition / Lynn Aaron, [and nine others].

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Format:
Book
Author/Creator:
Aaron, Lynn, author.
Language:
English
Subjects (All):
Artificial intelligence--Educational applications.
Artificial intelligence.
Physical Description:
1 online resource (121 pages)
Place of Publication:
Albany : State University of New York Press, 2024.
Summary:
This document presents information and solutions to educators across the spectrum of enthusiasm and adoption interests,empowering everyone to make educated decisions for themselves and their students regarding generative AI.
Contents:
Intro
Contents
Executive Summary
Foreword
To The Reader
How to Use the Guide
Acknowledgements
AI in Context
AI Meets the Public
A Year in AI
AI Capabilities
AI Bias Concerns
Algorithmic Bias
Data Management and Media Literacy
Societal Impact
AI in Society: Ethical and Legal Issues
Intellectual Privacy Considerations
Fair Use Vs. Copyright
Licensing and Fair Compensation
Impact On Trademark Infringement
AI Trademark Infringement
AI Literacy
AI Literacy in Everyday Living
Misinformation and Disinformation
Policy Considerations in Teaching and Education
Opportunities and Threats in Higher Education
Equity and Access in Higher Education
Dealing with Academic Integrity
Integrity Problems with AI
False Honesty of AI
Psychological Impact of AI
The Responsibility of Educators
The Impact of AI in Other Contexts
Information Security Concerns
AI Policy Suggestions
Additional Resources
AI in Course Development and Assessment
Uses of AI Technologies in Higher Education
AI-powered personalized learning
Intelligent tutoring systems
Automated grading and assessment
Virtual and augmented reality
Intelligent content creation
Data analytics for educational insights
Language learning and translation
Intelligent learning management systems
AI Capabilities for Students
AI Tools for Student Writing Tasks
AI Capabilities for Faculty
Suggestions for Faculty AI Use
Prompt Engineering for Instructors
Setting Expectations in Your Classes
AI Tools to Promote Student Learning and Success: Examples
In-Class Activities
Writing Assignments
AI Tools for Research Assignments
Lab Reports
Accessibility
Considerations for Online Classes
AI Tools Can Support Teaching: Examples. AI in Student Research and Creative Works
The Role of AI in the Student's Research/Creation Process
AI as it Pertains to the Intellectual Growth of the Student Researcher
Using AI to Develop Research and Scholarship
Opportunities
Risks
Citing/Disclosing
Using AI to Evaluate Research and Scholarship
Funder and Publisher Guidelines
Using AI in Creative Works
Copyright, Intellectual Property and Applications in Creative Industries
Generative AI in Student Creative Works
Summary and Additional Considerations
Evaluating AI Tools in Higher Education
Student Evaluation Practices and Assessment Strategies
AI's Impact on Summative Assessment: An Example
Alternative Grading Strategies
Challenges with AI Detection Products
Strategies for Pedagogical Evaluation
Strategies for Technology Evaluation
Strategies for Accessibility and DEI Evaluation
Strategies for Student Input
Special Section: A Brief History of AI
Conclusion
What Does the Future with AI Look Like?
Job Market
Scientific Discovery
Cyber Security
AI and Mindreading
Interspecies Communication
After Death Communication (in a way)
Appendix A: Timeline
Appendix B: Algorithmic/Machine-Learning Bias
Machine Learning Bias
Examples of Algorithmic Bias
Appendix C: AI Tool Evaluation Examples
Example A: Midjourney
Example B: Almanack.ai
Example C: Learnt.ai
Appendix D: Glossary
References.
Notes:
Description based on publisher supplied metadata and other sources.
Includes bibliographical references.

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