Analyzing Interactions in CSCL: Methods, Approaches and Issues (Computer-Supported Collaborative Learning Series Book 12)

Analyzing Collaborative Interactions in CSCL Methods, Approaches, and Issues Sadhana Puntambekar, Gijsbert Erkens, and Cindy Hmelo-Silver, editors In more than two decades of research in CSCL (Computer-Supported Collaborative Learning), researchers have used several methods to understand how individuals learn in groups and how groups of learners construct knowledge. The individual and group learning processes have been studied using a variety of methods. Analyzing Collaborative Interactions in CSCL reveals the wide range of this research: qualitative and quantitative methods, studies of the learning process as well as outcomes, and the measurement of group and individual members' learning. Focusing on three major research areas--group processes, learning within groups, and frameworks for analyzing CSCL--leading scholars present models, methods, and tools that readers can adapt to fit their own projects. Basic research issues such as defining the unit of analysis, determining the grain size of the data, and representing the temporality of interactions are discussed in the context of these methods addressing issues such as: - Studying group cognition through the lens of social order. - Using visualization methods to assess group members' individual progress. - Analyzing collaborative interactions with data mining methods. - Assessing student project groups online and offline. - Using multilevel analysis in text-based communication. - Analyzing collaborative interactions across settings and domains. Together, the chapters in Analyzing Collaborative Interactions in CSCL model a range of methods for CSCL researchers in education, education technology, and cognitive science Front Matter....Pages i-xxii Front Matter....Pages 1-1 A Complexity-Grounded Model for the Emergence of Convergence in CSCL Groups....Pages 3-23 Analyzing the Contextual Nature of Collaborative Activity....Pages 25-46 Understanding Learners’ Knowledge Building Trajectory Through Visualizations of Multiple Automated Analyses....Pages 47-82 Representational Tools for Understanding Complex Computer-Supported Collaborative Learning Environments....Pages 83-106 How to Study Group Cognition....Pages 107-130 Thinking about Methods to Capture Effective Collaborations....Pages 131-142 Front Matter....Pages 143-143 Analyzing Collaborative Processes and Learning from Hypertext Through Hierarchical Linear Modelling....Pages 145-159 Analyzing Collaborative Interactions with Data Mining Methods for the Benefit of Learning....Pages 161-185 Multilevel Analysis in CSCL Research....Pages 187-205 Sequential Analysis of Scientific Argumentation in Asynchronous Online Discussion Environments....Pages 207-233 Is the Whole Greater than the Sum of Its Parts? Explaining the Role of Individual Learning and Group Processes in CSCL....Pages 235-243 Front Matter....Pages 245-245 Quantifying Qualities in Collaborative Knowledge Construction: The Analysis of Online Discussions....Pages 247-268 An Interaction-Aware Design Process for the Integration of Interaction Analysis into Mainstream CSCL Practices....Pages 269-291 A Framework for Assessment of Student Project Groups On-Line and Off-Line....Pages 293-317 Analyzing Productive Interactions in CSCL: Collaborations, Computers and Contradictions....Pages 319-339 Tracing Interaction in Distributed Collaborative Learning....Pages 341-366 Analyzing Collaborative Interactions Across Domains and Settings: An Adaptable Rating Scheme....Pages 367-390 Analytical Frameworks for Group Interactions in CSCL Systems....Pages 391-411 Back Matter....Pages 413-416 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.