Generative AI: Theories, Strategies, and Research Designs for Educational Integration
Generative AI: Theories, Strategies, and Research Designs for Educational Integration is the world’s first comprehensive monograph dedicated to exploring research topics and methodologies related to Generative Artificial Intelligence (Generative AI) in education. Unlike other books that focus mainly on tool operation or teaching applications, this volume delves deeply into the theoretical foundations, strategic frameworks, research designs, and analytical methods of Generative AI within educational research.
The book begins by outlining the current research trends of Generative AI in education, identifying common challenges and areas for improvement faced by researchers in this field. It not only proposes feasible models for research design to address these challenges but also demonstrates how combining various learning strategies and educational theories can enhance the academic and practical value of such research.
Furthermore, it presents case studies and analytical results of research designs involving Generative AI across different subjects, learner groups, and learning activities. For scholars and educators seeking to conduct research or teaching with Generative AI, this book serves as an essential and enlightening guide.
作者
Hwang, Gwo-Jen
Chair Professor and Vice President, Graduate Institute of Educational Information and Measurement, National Taichung University of Education
Awards and Honors:
Outstanding Research Awards: 2007, 2010, 2013
Distinguished Research Fellow: 2022
National Excellent Teacher Award (Shih-Tuo Award): 2018
Listed among the World’s Top 40 Flipped Learning Educators
Ranked in the World’s Top 2% of Scientists for Lifetime Scientific Influence
Listed among the World’s Top 100 Scholars in the Field of Social Sciences
Tu, Yun-Fang
Assistant Professor, Center for General Education, National Taiwan University of Science and Technology / Chung Yuan Christian University
Honors and Professional Roles:
Honorary Member, Phi Tau Phi Scholastic Honor Society
Outstanding Reviewer Award in the Field of Information Science and Library Science
Professional Lecturer on AICG-Related Topics and Academic Speaking