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Analyzing Interactions in CSCL

Methods, Approaches and Issues

  • Book
  • © 2011

Overview

Editors:
  1. Sadhana Puntambekar

    1. Wisconsin Center for Education Research, University of Wisconsin-Madison, Madison, USA

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  2. Gijsbert Erkens

    1. Dept. Educational Sciences, Utrecht University, Utrecht, Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  3. Cindy Hmelo-Silver

    1. Graduate School of Education, Rutgers University, New Brunswick, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Synthesizes and analyzes interactions within CSCL
  • Provides alternative methodologies for researchers in the CSCL field
  • Addresses unique needs of CSCL researchers
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computer-Supported Collaborative Learning Series (CULS, volume 12)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Understanding Group Processes

    1. Front Matter

      Pages 1-1
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    2. A Complexity-Grounded Model for the Emergence of Convergence in CSCL Groups

      • Manu Kapur, John Voiklis, Charles K. Kinzer
      Pages 3-23

    3. Analyzing the Contextual Nature of Collaborative Activity

      • Maarit Arvaja
      Pages 25-46

    4. Understanding Learners’ Knowledge Building Trajectory Through Visualizations of Multiple Automated Analyses

      • Nancy Law, Johnny Yuen, Wing O. W. Wong, Jing Leng
      Pages 47-82

    5. Representational Tools for Understanding Complex Computer-Supported Collaborative Learning Environments

      • Cindy E. Hmelo-Silver, Rebecca Jordan, Lei Liu, Ellina Chernobilsky
      Pages 83-106

    6. How to Study Group Cognition

      • Gerry Stahl
      Pages 107-130

    7. Thinking about Methods to Capture Effective Collaborations

      • Stephanie D. Teasley
      Pages 131-142

  3. Understanding Learning within Groups

    1. Front Matter

      Pages 143-143
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    2. Analyzing Collaborative Processes and Learning from Hypertext Through Hierarchical Linear Modelling

      • Agni Stylianou-Georgiou, Elena Papanastasiou, Sadhana Puntambekar
      Pages 145-159

    3. Analyzing Collaborative Interactions with Data Mining Methods for the Benefit of Learning

      • Peter Reimann, Kalina Yacef, Judy Kay
      Pages 161-185

    4. Multilevel Analysis in CSCL Research

      • Jeroen Janssen, Gijsbert Erkens, Paul A. Kirschner, Gellof Kanselaar
      Pages 187-205

    5. Sequential Analysis of Scientific Argumentation in Asynchronous Online Discussion Environments

      • Allan Jeong, Douglas B. Clark, Victor D. Sampson, Muhsin Menekse
      Pages 207-233

    6. Is the Whole Greater than the Sum of Its Parts? Explaining the Role of Individual Learning and Group Processes in CSCL

      • Susanne P. Lajoie
      Pages 235-243

  4. Frameworks for Analyzing Interactions in CSCL

    1. Front Matter

      Pages 245-245
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    2. Quantifying Qualities in Collaborative Knowledge Construction: The Analysis of Online Discussions

      • Karsten Stegmann, Frank Fischer
      Pages 247-268

    3. An Interaction-Aware Design Process for the Integration of Interaction Analysis into Mainstream CSCL Practices

      • Alejandra Martínez-Monés, Andreas Harrer, Yannis Dimitriadis
      Pages 269-291

    4. A Framework for Assessment of Student Project Groups On-Line and Off-Line

      • Gahgene Gweon, Soojin Jun, Joonhwan Lee, Susan Finger, Carolyn Penstein Rosé
      Pages 293-317

    5. Analyzing Productive Interactions in CSCL: Collaborations, Computers and Contradictions

      • Eileen Scanlon
      Pages 319-339

    6. Tracing Interaction in Distributed Collaborative Learning

      • Daniel Suthers, Richard Medina
      Pages 341-366
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Keywords

About this book

Analyzing Interactions in CSCL: Methodology, Approaches, and Issues deepens the understanding of ways to document and analyze interactions in CSCL and informs the design of the next generation of CSCL tools. It provides researchers with several alternative methodologies, theoretical underpinnings of the methods used, data indicating how the method worked, guidance for using the methods, implications for understanding collaborative processes and their effect on learning outcomes and implications for design.

CSCL research tends to span across several disciplines such as education, psychology, computer science and artificial intelligence. As a result, the methods for data collection and analysis are interdisciplinary, from fields such as sociology, anthropology, psychology, computer science, and artificial intelligence. This book brings perspectives together, and provides researchers with an array of methodologies to document and analyze collaborative interactions.

Editors and Affiliations

  • Wisconsin Center for Education Research, University of Wisconsin-Madison, Madison, USA

    Sadhana Puntambekar

  • Dept. Educational Sciences, Utrecht University, Utrecht, Netherlands

    Gijsbert Erkens

  • Graduate School of Education, Rutgers University, New Brunswick, USA

    Cindy Hmelo-Silver

Bibliographic Information

  • Book Title: Analyzing Interactions in CSCL

  • Book Subtitle: Methods, Approaches and Issues

  • Editors: Sadhana Puntambekar, Gijsbert Erkens, Cindy Hmelo-Silver

  • Series Title: Computer-Supported Collaborative Learning Series

  • DOI: https://doi.org/10.1007/978-1-4419-7710-6

  • Publisher: Springer New York, NY

  • eBook Packages: Humanities, Social Sciences and Law, Education (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2011

  • Hardcover ISBN: 978-1-4419-7709-0Published: 22 December 2010

  • Softcover ISBN: 978-1-4614-2788-9Published: 25 January 2013

  • eBook ISBN: 978-1-4419-7710-6Published: 11 January 2011

  • Series ISSN: 1573-4552

  • Series E-ISSN: 2543-0157

  • Edition Number: 1

  • Number of Pages: XXII, 416

  • Topics: Educational Technology, Artificial Intelligence

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