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