1st Edition
Future of 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.
Table of Contents:
PART I: FOUNDATIONS, FRAMEWORKS, AND ETHICAL CONSIDERATIONS
CHAPTER 1: Responsible, Ethical, and Effective Use of LLMs in Higher Education
Chong Ho Yu, and Sunny Chan
CHAPTER 2: Prompting Learning: The EPICC Framework for Effective Prompt Engineering in Education
William Cain
CHAPTER 3: Improving Large Foundation Models in Education for Multi-cultural Understanding
Jindong Wang, and Shudong Liu
CHAPTER 4: Engagement Dynamics in AI-Augmented Classrooms: Factors and Evolution
László Bognár
CHAPTER 5: Engagement Diversity in AI-Enhanced Learning: Demographic and Disciplinary Perspectives
László Bognár
PART II: PRACTICAL TOOLS AND APPLICATIONS FOR EDUCATORS
CHAPTER 6: vTA: How an Instructor Leverages Large Language Models for Superior Student Learning
Vivek K. Pallipuram, Vineeth Sai Varikuntla, and Abdullah T. Choudhry
CHAPTER 7: A Step Towards Adaptive Online Learning: Exploring the Role of GPT as Virtual Teaching Assistants in Online Education
Xiner Liu, Maciej Pankiewicz, Tanvi Gupta, Zhongtian Huang and Ryan S. Baker
CHAPTER 8: Leverage LLMs on Knowledge Tagging for Math Questions in Education
Qingsong Wen, Hang Li, and Tianlong Xu
CHAPTER 9: The Educator’s Co-Pilot: Leveraging Generative AI and OERs for Learning Path Design
Antonio Bucchiarone, Filippo Chiarello & Vito Giordano, Gianluca Schiavo, and Andrea Vazquez-Ingelmo
PART III: STUDENT-CENTERED LEARNING AND EMERGING TRENDS WITH AI
CHAPTER 10: Examining Graduate Students’ Experiences in Using Generative AI for Academic Writing: Insights from Cambodian Higher Education
Kimkong Heng, Sarin Sok, and Koemhong Sol
CHAPTER 11: Generating Feedback for Programming Exercises with OpenAI’s o1-preview
Imen Azaiz, Natalie Kiesler, and Sven Strickroth
CHAPTER 12: From Algorithms to Classrooms: The Future of Education with Large Language Models
Myint Swe Khine, and Ernest Afari
Biography
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.
