Learning Analytics Enhanced Online Learning Support

This book explores theories, technologies, and practices in data-driven online learning support services using learning analytics, focusing on social learning, electronic learning assessment, and personalized tutoring and support. It is essential reading for students and scholars in distance and online education, educational technology, and audiovisual education.

Format: Hardback
Length: 184 pages
Publication date: 08 December 2023
Publisher: Taylor & Francis Ltd

In the era of big data, this comprehensive book delves into the latest developments in online education, exploring theories, technologies, and practices in data-driven online learning support services through learning analytics. Spanning five chapters, Chapter 1 establishes a foundation by reflecting on the evolving connotation of learning support in the context of education reform, the emergence of learning analytics, and the escalating demand for learning services. Chapter 2 presents a comprehensive P-K-DSE-E model of online learner characteristics, discussing measurement and data representation methods tailored to these characteristics. Chapters 3 to 5 then delve into three crucial areas of learning support: social learning promotion, electronic learning assessment based on the learning process, and personalized tutoring and support. By innovatively blending traditional practices with new-age technologies, this book offers valuable insights into data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. Serving as a vital resource for students and scholars in the fields of distance and online education, educational technology, and audiovisual education, this book provides essential reading material for those seeking to stay at the forefront of this rapidly evolving field.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032629391