Description

Book Synopsis

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

Toward Trustworthy Adaptive Learning

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    A Paperback by Bo Jiang

    £42.99

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    Order before 4pm today for delivery by Mon 19 Oct 2026.

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      Book details

      Publisher Taylor & Francis
      Published 3/31/2025
      ISBN-13 9781032954943
      978-1032954943
      ISBN-10 1032954949
      Also in:
      Politics, Philosophy & Society Philosophy and theory of education

      Description

      Book Synopsis

      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

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