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Jeong, Heisawn; Cress, Ulrike; Moskaliuk, Johannes; Kimmerle, Joachim – International Journal of Computer-Supported Collaborative Learning, 2017
Social interaction is crucial for understanding individual and collective processes in knowledge communities. We describe how technology has changed the way people interact in large communities. Building on this description, we propose a framework that distinguishes four types of joint interactions in online knowledge communities: Attendance,…
Descriptors: Cooperation, Interpersonal Relationship, Interaction, Models
Dillenbourg, Pierre; Lemaignan, Séverin; Sangin, Mirweis; Nova, Nicolas; Molinari, Gaëlle – International Journal of Computer-Supported Collaborative Learning, 2016
Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate that collaborative tasks require some level of mutual modelling, i.e. that each partner needs…
Descriptors: Cooperative Learning, Modeling (Psychology), Interaction, Teamwork
Tissenbaum, Mike; Berland, Matthew; Lyons, Leilah – International Journal of Computer-Supported Collaborative Learning, 2017
There is a growing understanding of the unique ways that tabletops support effective collaboration; however, this research mostly focuses on environments in which learners work towards a single shared goal. Underpinning this perspective, either implicitly or explicitly, is the theory that collaborative learning is a process of attaining convergent…
Descriptors: Cooperative Learning, Computer Interfaces, Models, Informal Education
Cen, Ling; Ruta, Dymitr; Powell, Leigh; Hirsch, Benjamin; Ng, Jason – International Journal of Computer-Supported Collaborative Learning, 2016
The benefits of collaborative learning, although widely reported, lack the quantitative rigor and detailed insight into the dynamics of interactions within the group, while individual contributions and their impacts on group members and their collaborative work remain hidden behind joint group assessment. To bridge this gap we intend to address…
Descriptors: Cooperative Learning, Statistical Analysis, Group Dynamics, Group Activities
Jorczak, Robert L. – International Journal of Computer-Supported Collaborative Learning, 2011
This paper presents a model of collaborative learning that takes an information processing perspective of learning by social interaction. The collaborative information processing model provides a theoretical basis for understanding learning principles associated with social interaction and explains why peer-to-peer discussion is potentially more…
Descriptors: Interaction, Cooperative Learning, Peer Relationship, Teacher Student Relationship
Cress, Ulrike; Kimmerle, Joachim – International Journal of Computer-Supported Collaborative Learning, 2008
Wikis provide new opportunities for learning and for collaborative knowledge building as well as for understanding these processes. This article presents a theoretical framework for describing how learning and collaborative knowledge building take place. In order to understand these processes, three aspects need to be considered: the social…
Descriptors: Epistemology, Cooperative Learning, Cognitive Processes, Piagetian Theory
Cress, Ulrike – International Journal of Computer-Supported Collaborative Learning, 2008
Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…
Descriptors: Predictor Variables, Statistical Analysis, Research Needs, Educational Research

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