Learning with Generative Artificial Intelligence
eBook - ePub

Learning with Generative Artificial Intelligence

What Empirical Studies Tell Us

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Learning with Generative Artificial Intelligence

What Empirical Studies Tell Us

About this book

This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)'s impact beyond the theoretical and fragmented insights prevalent in current discourse.

Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI's educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.

This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas.

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Yes, you can access Learning with Generative Artificial Intelligence by Yizhou Fan in PDF and/or ePUB format, as well as other popular books in Computer Science & Education Technology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Taylor & Francis
Year
2025
eBook ISBN
9781040369340
Edition
0
Topic
Computer Science
Subtopic
Education Technology
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of figures
  7. List of tables
  8. Preface
  9. List of contributors
  10. Chapter 1 â—¾ Brief History of AI in Education and Transforming Learning with Generative Artificial Intelligence
  11. Chapter 2 â—¾ Empirical Research Design That Linking Theoretical Concepts and Empirical Data: Learning with GenAI or Human Teacher
  12. Chapter 3 â—¾ Enhancing Learning Through Interaction with GenAI: Opportunities, Challenges and Future Directions
  13. Chapter 4 ◾ Learners’ Emotion and Motivation while Learning with GenAI
  14. Chapter 5 â—¾ The Impacts of GenAI on Learning: What Works and What Falls Short?
  15. Chapter 6 â—¾ How GenAI Affects Metacognition in Self-Regulated Learning: Between Enhancement and Inhibition
  16. Chapter 7 ◾ Enhance Assessing Students’ Learning with GenAI: Challenges, Opportunities and Future Directions
  17. Chapter 8 â—¾ Ethical Issues and Value Tensions in the Context of GenAI-Assisted Learning
  18. Chapter 9 â—¾ Future Vision and Key Topics of Learning with GenAI: Conceptual Constructions Rooted in Empirical Studies
  19. Index