Toward Trustworthy Adaptive Learning: Explainable Learner Models

— —

Bo Jiang (East China Normal University, China) Yuang Wei (East China Normal University, China)

Toward Trustworthy Adaptive Learning

Explainable Learner Models

Bo Jiang (East China Normal University, China), Yuang Wei (East China Normal University, China)

$90.99

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Routledge
31 March 2025

Philosophy & theory of education; Teaching of a specific subject; Computing: general; Data mining; Artificial intelligence

Series: Assessment of Educational Technology

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.

By: Bo Jiang (East China Normal University China), Yuang Wei (East China Normal University, China)
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 430g
ISBN: 9781032954943
ISBN 10: 1032954949
Series: Assessment of Educational Technology
Pages: 217
Publication Date: 31 March 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Table of Contents Preface Authors Contributors Section I. Explainable Learner Models: An Overview 1. Trustworthy AI for Adaptive Learning 2. Explainable Learner Models: Concepts, Classifications, and Datasets 3. Construction and Interpretation of Explainable Models: A Case Study on BKT Section II. Research on Ante-hoc Explainability Learner Models 4. Interpretable Cognitive State Prediction via Temporal Fuzzy Cognitive Map 5. Improving the performance and explainability of knowledge tracing via Markov blanket 6. Knowledge Tracing within Single Programming Practice Using Problem-Solving Process Data Section III. Research on Post-hoc Explainability Learner Models 7. Understanding the relationship between computational thinking and computational participation 8. Understanding students’ backtracking behaviour in digital textbooks: a data-driven perspective Section IV. Toward Trustworthy Adaptive Learning 9. Frameworks for Explainable Learner Models 10. Frameworks for Trustworthy AI for Adaptive Learning Index

Bo Jiang is an associate professor at East China Normal University, China. His research interests include intelligent tutoring technologies, computational thinking education, and AI education. He holds academic positions as an executive committee member of the Asia-Pacific Society for Computers in Education (APSCE) and a youth committee member of the Chinese Association for Artificial Intelligence.