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

PART I: FOUNDATIONS, FRAMEWORKS, AND ETHICAL CONSIDERATIONS. Responsible, Ethical, and Effective Use of LLMs in Higher Education. Prompting Learning: The EPICC Framework for Effective Prompt Engineering in Education. Improving Large Foundation Models in Education for Multi-cultural Understanding. Engagement Dynamics in AI-Augmented Classrooms: Factors and Evolution. Engagement Diversity in AI-Enhanced Learning: Demographic and Disciplinary Perspectives. PART II: PRACTICAL TOOLS AND APPLICATIONS FOR EDUCATORS. vTA: How an Instructor Leverages Large Language Models for Superior Student Learning. A Step Towards Adaptive Online Learning: Exploring the Role of GPT as Virtual Teaching Assistants in Online Education. Leverage LLMs on Knowledge Tagging for Math Questions in Education. The Educator’s Co-Pilot: Leveraging Generative AI and OERs for Learning Path Design. 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. Generating Feedback for Programming Exercises with OpenAI’s o1-preview. From Algorithms to Classrooms:? The Future of Education with Large Language Models.

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