Toward Trustworthy Adaptive Learning: Explainable Learner Models (1) (Assessment of Educational Technology)

By: null Bo Jiang

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

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 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.

Book Quality:: Publisher Quality
Book Size:: 234 Pages
ISBN-13:: 9781040312261
Related ISBNs:: 9781032954950, 9781032954943, 9781003585176, 9781040312254
Publisher:: Taylor & Francis
Date of Addition:: 03/31/25
Copyrighted By:: Bo Jiang
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Education
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.