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

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.

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. Dr. Khine is also an Editor-in-Chief of the Journal of Science of Learning and Innovations. Throughout his career, he has published over 40 edited volumes. The most recent publications include New Directions in Rhizomatic Learning: From Poststructural Thinking to Nomadic Pedagogy, The Development of Professional Identity in Higher Education, and Machine Learning in Educational Sciences.

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. He holds degrees in civil engineering and engineer-mathematician from the Technical University of Budapest and earned his PhD from the Hungarian Academy of Sciences in 1994. As head of the Applied Mathematics Department, Dr. Bognár was instrumental in improving educational practices through online course development, the use of statistical software, and recently the application of Machine Learning. Dr. Bognár has developed several online courses on Udemy, enhancing accessibility and effectiveness in statistics education. Additionally, he runs a widely used, free statistical online website in Hungary, contributing significantly to nationwide education in statistics. He also holds certificates in Machine Learning from Stanford University, Programming with Matlab from Vanderbilt University, and Probability Theory and Statistics from the University of California, Berkeley. Additionally, 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 has published over 50 peer-reviewed journal articles and book chapters. Dr. Afari is a regional editor (Middle East & North Africa) of Learning Environments Research, a co-editor of the Journal of Science of Learning and Innovations, and has been a reviewer for several journals, including the International Journal of Science and Mathematics Education, Learning Environments Research, and Instructional Sciences. He currently teaches at the University of Bahrain, Kingdom of Bahrain.