Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
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.
Samar S. Aad is an Assistant Professor at the Adnan Kassar Business School at the Lebanese American University.
Mariann Hardey is a Professor of Business and Computing at Durham University Business School.
Introduction
Chapter 1. Historical Perspectives: Evolution of GAI
Chapter 2. How GAI Works: Fundamentals
Chapter 3. GAI as a Persona in Education: Enhancing Interaction and Engagement
Chapter 4. Human-GAI Collaboration in Education: Fostering Deeper Learning and Innovation
Chapter 5. GAI as a Learning Catalyst: Igniting Curiosity and Creativity in the Classroom
Chapter 6. Ethical Considerations for GAI in Education: Ensuring a Human-Centered Approach
Chapter 7. GAI for Personalized Learning: Tailoring Education to Individual Needs
Chapter 8. Universal Access to Education: Bridging the Digital Divide with GAI
Chapter 9. Beyond GAI-Future Trends
Chapter 10. Implementation Strategies: Where Do We Go From Here?
Conclusion. A New Chapter in Education