Future of Learning with Large Language Models : Applications and Research in Education

Myint Swe Khine

ISBN 10: 1032934328 / ISBN 13: 9781032934327

Published by CRC Press, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Large language models (LLMs), advanced AI systems trained on vast text datasets, are reshaping education. This book explores their role in revolutionizing learning through cognitive reinforcement, personalization, curriculum-wide applications, and teacher training.

Seller Inventory # 9781032934327

Bibliographic Details

• Title: Future of Learning with Large Language Models : Applications and Research in Education
• Publisher: CRC Press
• Publication Date: 2025
• Language: English
• ISBN 10: 1032934328
• ISBN 13: 9781032934327
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 19D millimeters 240 millimeters width by 161 millimeters height by 19 millimeters depth
• Weight: 570 grams

About this title

Synopsis

The book covers theoretical foundations on how LLMs can enhance learning, cognitive reinforcement, improving learning efficiency, and personalization in learning, applications across the curriculum, teacher training and support for LLM integration, using in assessment and evaluation, and measuring the impact and affordances of LLMs. It acknowledges the challenges that come with integrating LLMs into education and will address the responsible development and deployment strategies to ensure that the models become powerful tools for good in the hands of educators. It explores potential research directions, such as the development of domain-specific models, and the creation of ethical frameworks for LLM use in education. As education enters an era of AI-enablement, this visionary book equips teachers, administrators, technologists, and policymakers with an authoritative guide to harnessing the power of large language models. Readers will discover how these advanced systems can expand access to quality education, tailor learning experiences, and nurture the innovators and critical thinkers of tomorrow, and glimpse into the future of learning and education with LLMs.

About the Author

Myint Swe Khine holds Master's degrees from the University of Southern California, USA, and the University of Surrey, UK, as well as a Doctor of Education from Curtin University, Australia. He has worked at the National Institute of Education at Nanyang Technological University, Singapore, and was a Professor at Emirates College for Advanced Education in the United Arab Emirates. He currently teaches at the School of Education, Curtin University, Australia.

László Bognár is a distinguished professor of Applied Statistics at the University of Dunaújváros, Hungary, with a focus on Statistics in Educational Sciences, Six Sigma, and Quality Statistics. Dr. Bognár has served in various leadership roles, including rector, director-general, deputy director-general, and the President of the Chamber of Engineers of Fejér County, contributing significantly to the engineering and academic communities.

Ernest Afari holds a PhD in Mathematics Education from Curtin University, Australia, and an MSc (Mathematics) from the University of British Columbia, Vancouver, Canada. His research focuses on structural equation modeling, psychometrics, and the application of statistical procedures to education. He currently teaches at the University of Bahrain, Kingdom of Bahrain.