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Data-Driven Design for Computer-Supported Collaborative Learning

Design Matters

  • Book
  • © 2021

Overview

Authors:
  1. Lanqin Zheng

    1. School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing, China

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  • Proposes innovative methods for data-driven design using computer-supported collaborative learning
  • Solves problems regarding the design and implementation of computer-supported collaborative learning activities by presenting vivid cases in authentic settings
  • Proposes an innovative approach to assessing the consistency of design and implementation in computer-supported collaborative learning

Part of the book series: Lecture Notes in Educational Technology (LNET)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xv
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  4. Assessment and Optimization of CSCL Design Based on Design-Centered Approach

    1. Front Matter

      Pages 115-115
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    2. An Innovative Method of Evaluating Collaborative Learning Design Quality

      • Lanqin Zheng
      Pages 117-131

    3. The Study on Analyzing the Fidelity of Enactment in Computer-Supported Collaborative Learning

      • Lanqin Zheng
      Pages 133-146

    4. Optimize CSCL Activities Based on a Data-Driven Approach

      • Lanqin Zheng
      Pages 147-162
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Keywords

About this book

This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research.


The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL.

Authors and Affiliations

  • School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing, China

    Lanqin Zheng

About the author

Dr. Lanqin Zheng currently works as an associate professor as well as supervisors for international PHD students and postgraduate students at the School of Educational Technology in Beijing Normal University. Her research interests include computer supported collaborative learning, learning analytics, instructional design, and STEM. Dr. Zheng has published more than 100 refereed journal papers, books, and international conference papers. Now, she serves as the editorial board member of International Journal of Mobile Leaning and Organization as well as assistant editors of Journal of Computers in Education and Smart Learning Environment. She is the reviewers of many international journals, including Review of Educational Research, Computers & Education, The Internet and Higher Education, British Journal of Educational Technology, and so on. She is also program committee members of many international conferences.

Bibliographic Information

  • Book Title: Data-Driven Design for Computer-Supported Collaborative Learning

  • Book Subtitle: Design Matters

  • Authors: Lanqin Zheng

  • Series Title: Lecture Notes in Educational Technology

  • DOI: https://doi.org/10.1007/978-981-16-1718-8

  • Publisher: Springer Singapore

  • eBook Packages: Education, Education (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-16-1717-1Published: 12 August 2021

  • Softcover ISBN: 978-981-16-1720-1Published: 13 August 2022

  • eBook ISBN: 978-981-16-1718-8Published: 11 August 2021

  • Series ISSN: 2196-4963

  • Series E-ISSN: 2196-4971

  • Edition Number: 1

  • Number of Pages: XV, 162

  • Number of Illustrations: 29 b/w illustrations, 6 illustrations in colour

  • Topics: Educational Technology, Technology and Digital Education, Computers and Education, Learning & Instruction

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