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题名/责任者:

Toward trustworthy adaptive learning : explainable learner models / edited by Bo Jiang, Yuang Wei.

版本说明:

First edition.

出版发行项:

New York : Routledge, 2025.

ISBN:

9781032954943

ISBN:

9781032954950

其它标准号:

CIPO000190113

载体形态项:

234 pages ; 24 cm

个人责任者:

Jiang, Bo, author.

附加个人名称:

Wei, Yuang, author.

论题主题:

Individualized instruction.

论题主题:

Artificial intelligence-Educational applications.

论题主题:

Instructional systems.

中图法分类号:

G434

书目附注:

Includes bibliographical references and index.

摘要附注:

"This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems. Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings. This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments"--

豆瓣简介：