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Schneider, Bertrand; Dich, Yong; Radu, Iulian – International Journal of Computer-Supported Collaborative Learning, 2020
Over the last decade, there has been a renewed interest in capturing twenty-first century skills using new data collection tools. In this article, we leverage an existing dataset where electrodermal activity (EDA) was used to identify markers of productive collaboration. The data came from 42 pairs of participants (NĀ = 84) who had no coding…
Descriptors: Psychophysiology, Measures (Individuals), Cooperative Learning, 21st Century Skills
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Davidsen, Jacob; Ryberg, Thomas – International Journal of Computer-Supported Collaborative Learning, 2017
In CSCL studies, language is often foregrounded as the primary resource for engaging in collaborative learning, while the body is more often positioned as a secondary resource. There is, however, a growing interest in the body as a resource in learning and collaboration in and outside CSCL. In this paper, we present, analyse, and discuss how two…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Children, Human Body
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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
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Csanadi, Andras; Eagan, Brendan; Kollar, Ingo; Shaffer, David Williamson; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2018
Research on "computer-supported collaborative learning" (CSCL) is often concerned with the question of how scaffolds or other characteristics of learning may affect learners' social and cognitive engagement. Such engagement in socio-cognitive activities frequently materializes in discourse. In quantitative analyses of discourse,…
Descriptors: Computer Assisted Instruction, Educational Technology, Cooperative Learning, Scaffolding (Teaching Technique)
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Harney, Owen M.; Hogan, Michael J.; Quinn, Sarah – International Journal of Computer-Supported Collaborative Learning, 2017
In a society which is calling for more productive modes of collaboration to address increasingly complex scientific and social issues, greater involvement of students in dialogue, and increased emphasis on collaborative discourse and argumentation, become essential modes of engagement and learning. This paper investigates the effects of…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Prompting, Persuasive Discourse
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Harney, Owen M.; Hogan, Michael J.; Broome, Benjamin; Hall, Tony; Ryan, Cormac – International Journal of Computer-Supported Collaborative Learning, 2015
This paper investigates the effects of task-level versus process-level prompts on levels of perceived and objective consensus, perceived efficacy, and argumentation style in the context of a computer-supported collaborative learning session using Interactive Management (IM), a computer facilitated thought and action mapping methodology. Four…
Descriptors: Undergraduate Students, Cooperative Learning, Prompting, Persuasive Discourse
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Fu, Ella L. F.; van Aalst, Jan; Chan, Carol K. K. – International Journal of Computer-Supported Collaborative Learning, 2016
The goal of this study was to develop a classification for a range of discourse patterns that occur in text-based asynchronous discussion forums, and that can aid in the distinction of three modes of discourse: knowledge sharing, knowledge construction, and knowledge building. The dataset was taken from Knowledge ForumĀ® databases in the Knowledge…
Descriptors: Foreign Countries, Classification, Discourse Analysis, Asynchronous Communication
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Mu, Jin; Stegmann, Karsten; Mayfield, Elijah; Rose, Carolyn; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2012
Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…
Descriptors: Semantics, Classification, Syntax, Coding
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Evans, Michael A.; Feenstra, Eliot; Ryon, Emily; McNeill, David – International Journal of Computer-Supported Collaborative Learning, 2011
Our research aims to identify children's communicative strategies when faced with the task of solving a geometric puzzle in CSCL contexts. We investigated how to identify and trace "distributed cognition" in problem-solving interactions based on discursive cohesion to objects, participants, and prior discursive content, and geometric and…
Descriptors: Mathematics Education, Problem Solving, Geometric Concepts, Children