Learning with Generative Artificial Intelligence
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Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

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About the 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. Furthermore, the book presents a closed loop of learning theory, multimodal data and learning analytics technology, builds and proposes core conceptual models for future learning, and identifies potential research directions. The book will serve as a foundational reference for educators seeking innovative learning and teaching methods, researchers and technologists who seek to push the boundaries of educational technology and related areas.

Table of Contents:
1 Brief History of AI in Education and Transforming Learning with Generative Artificial Intelligence 2 Empirical Research Design that Linking Theoretical Concepts and Empirical Data: learning with GenAI or human teacher 3 Enhancing Learning Through Interaction with GenAI: Opportunities, Challenges and Future Directions 4 Learners' Emotion and Motivation while Learning with GenAI 5 The Impacts of GenAI on Learning: What Works and What Falls Short? 6 How GenAI Affects Metacognition In Self-Regulated Learning: between Enhancement and Inhibition 7 Enhancing Educational Assessment with GenAI: Challenges, Opportunities and Future Directions 8 Ethical Issues and Value Tensions in the Context of GenAI-assisted Learning 9 Future Vision and Key Topics of Learning with GenAI: Conceptual Constructions Rooted in Empirical Studies


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Product Details
  • ISBN-13: 9781040369333
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Routledge
  • Language: English
  • ISBN-10: 1040369332
  • Publisher Date: 20 Jun 2025
  • Binding: Digital (delivered electronically)
  • Sub Title: What Empirical Studies Tell Us


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Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us
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Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us
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