Learning Analytics Enhanced Online Learning Support
eBook - ePub

Learning Analytics Enhanced Online Learning Support

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Learning Analytics Enhanced Online Learning Support

About this book

Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics.

This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples.

This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.

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Yes, you can access Learning Analytics Enhanced Online Learning Support by Shuang Li in PDF and/or ePUB format, as well as other popular books in Pedagogía & Educación general. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2023
Print ISBN
9781032629391
eBook ISBN
9781003815631
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of Figures
  7. List of Tables
  8. 1 Learning support reflection and reconstruction in the Internet Plus era
  9. 2 Online student characteristics and data representation
  10. 3 Promoting social learning based on interaction analytics
  11. 4 Learning process-based electronic assessment
  12. 5 Personalized tutoring and support
  13. Index