Learning with generative artificial intelligence what empirical studies tell us / edited by Yizhou Fan.
| Other author | Fan, Yizhou, 1990 |
| Format | Electronic |
| Publication Info | London ; New York : Routledge, Taylor & Francis Group, 2025. |
| Description | 262 pages ; 26 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2024062068 |
| ISBN | 9781041052807 hardback |
| ISBN | 9781041052814 paperback |
| ISBN | ebook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |