
After Generative AI
Preparing Faculty to Transform Education, Learning and Pedagogy
- 240 pages
- English
- PDF
- Available on iOS & Android
After Generative AI
Preparing Faculty to Transform Education, Learning and Pedagogy
About this book
In a landscape where technological advancements are disrupting and reshaping the educational paradigm, After Generative AI serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From ChatGPT, to Bard, to CANVA, educators are seeking practical insights into how to harness the power of GAI effectively. After Generative AI provides a consolidated, accessible resource that caters to students and faculty, providing them with the knowledge and strategies to thrive in an AI-enhanced educational environment.
Each chapter demystifies GAI for educators and learners alike, offering a clear and accessible explanation of the basics, applications, and implications of GAI in education. This is a foundational understanding for readers, ensuring they are equipped to make informed decisions about integrating GAI into their teaching and learning processes. Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity.
After Generative AI fills a crucial gap in the literature by providing a practical, insightful, and forward-looking guide to GAI in education. Through comprehensive coverage, real-world examples, and ethical considerations, educators will feel empowered and learners ready to embrace GAI's transformative potential while responsibly navigating its challenges.
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Information
Table of contents
- Cover
- After Generative AI
- Series Title Page
- After Generative AI
- Copyright Page
- Contents
- Dedication
- About the Authors
- Preface
- Acknowledgments
- Introduction
- 1. Historical Perspectives: Evolution of GAI
- 2. How GAI Works: Fundamentals
- 3. GAI as a Persona in Education: Enhancing Interaction and Engagement
- 4. Human-GAI Collaboration in Education: Fostering Deeper Learning and Innovation
- 5. GAI as a Learning Catalyst: Igniting Curiosity and Creativity in the Classroom
- 6. Ethical Considerations for GAI in Education: Ensuring a Human-Centered Approach
- 7. GAI for Personalized Learning: Tailoring Education to Individual Needs
- 8. Universal Access to Education: Bridging the Digital Divide with GAI
- 9. Beyond GAI: Future Trends
- 10. Implementation Strategies: Where Do We Go From Here?
- Conclusion: A New Chapter in Education
- References
- Index