Short description:

This book explores the integration of Generative AI (GenAI), such as ChatGPT, into educational practices and research methodologies. Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. 

Long description:

This book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.

This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI?s impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.

Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning.

"This book serves as an indispensable resource for understanding and implementing generative AI in educational settings. By combining global perspectives with actionable strategies, the book provides a balanced and insightful examination of how AI can empower personalized learning and foster innovation in teaching and research."

Muhammed Younas, Professor of Computer Science, School of Engineering, Computing and Mathematics, Oxford-Brookes University, United Kingdom

"Generative Artificial Intelligence Empowered Learning is a seminal work that bridges the gap between theory and practice in AI-driven education. It thoughtfully explores how educators and researchers can responsibly integrate AI technologies to enhance learning outcomes while addressing ethical complexities. A must-read for anyone navigating the future of education."

Robin Braun, Emeritus Professor, Department of Electrical and Data Engineering, University of Technology, Sydney, Australia

Table of Contents:

1. Ethical Complexities and Educational Challenges for Generative AI in Academic Research: Balancing Innovation and Responsibility in Education. 2. Integrating Weak Generative AI with Project-Based Learning: The LivePBL DEEP Method in Hybrid Music Education. 3. Cultivating Curiosity through AI: A New Frontier in Personalized and Immersive Education. 4. Exploring Students? Preparedness for Using Generative Artificial Intelligence Technologies: A Case Study from Nigeria. 5. Student and Teacher Perspectives Regarding the Ethical and Responsible Use of Generative AI at Kuwait University: A Comparative Case Study. 6. Revolutionizing Personalized Learning: Exploring the Role of Artificial Intelligence in Enhancing Education. 7. Impact of GenAI on Student Outcomes. 8. Case Study: Streamlining Knowledge Acquisition through AI-Driven Summarization. 9. Building Teacher Capacity for Effective Integration of GenAI into Classroom: A Framework for Teacher Education Programs. 10. GenAI in Special Education: A Case of Teaching and Learning GenAI for Design in Hong Kong Special Schools.