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Showing 1 to 15 of 64 results Save | Export
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Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
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Cohen, Etan; Ben-Zvi, Dani; Hod, Yotam – International Journal of Computer-Supported Collaborative Learning, 2023
In this article we discuss some of the ethical dimensions of design-based research, which we believe should feature more prominently in CSCL scholarship. We begin by sketching out why it is important for CSCL researchers to articulate their visions of the good and how this can be accomplished in a systematic way. We then outline how ethical…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Ethics, Design
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Kateryna Zabolotna; Liv Nøhr; Megumi Iwata; Daniel Spikol; Jonna Malmberg; Hanna Järvenoja – International Journal of Computer-Supported Collaborative Learning, 2025
Computer-supported collaborative learning (CSCL) offers a modern setting for learners to engage in meaningful (meta)cognitive and socioemotional interactions. However, the task design, not technology alone, significantly shapes students' learning interactions. This study investigates how a conceptual physics task and a hands-on robotics task…
Descriptors: Cooperative Learning, Task Analysis, Learning Processes, Secondary School Students
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Zheng, Lanqin; Long, Miaolang; Niu, Jiayu; Zhong, Lu – International Journal of Computer-Supported Collaborative Learning, 2023
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated group learning engagement via deep neural network models in a computer-supported collaborative…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Automation
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Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
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Schnaubert, Lenka; Bodemer, Daniel – International Journal of Computer-Supported Collaborative Learning, 2022
Group awareness is of critical relevance for collaborative learning and interaction and is thus often referred to in CSCL research. However, the concept is only vaguely defined as some kind of understanding or perception of characteristics of learning partners or the collaborating group. Most CSCL research activities concerned with group awareness…
Descriptors: Cooperative Learning, Interaction, Group Dynamics, Behavior
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Dengkang Chen; Yi Zhang; Heng Luo; Zhifang Zhu; Jingsi Ma; Yuru Lin – International Journal of Computer-Supported Collaborative Learning, 2024
Group awareness (GA) is essential for computer-supported collaborative learning (CSCL), as it informs learners about other group members' activities, knowledge, and emotions. A key advantage of GA support is that it can collect, process, and visualize GA information, which provides a basis for students' reflection and adjustment during…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Academic Achievement
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Benzi Slakmon; Rotem Abdu – International Journal of Computer-Supported Collaborative Learning, 2024
Acknowledging the pivotal role of noticing in teachers' professional work, it is noteworthy that its application in dialogic activities remains an area that has yet to be studied. In this study, we examine mathematics teachers' noticing of dialogue among peers working together on problem-solving tasks and investigate the impact of a professional…
Descriptors: Mathematics Teachers, Attention, Peer Relationship, Teacher Collaboration
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Aaron J. Peltoniemi; Joni Lämsä; Sami Lehesvuori; Raija Hämäläinen – International Journal of Computer-Supported Collaborative Learning, 2025
This study qualitatively develops further understandings regarding knowledge and identity construction within computer-supported collaborative learning (CSCL) research by applying discourse analysis and the dialogical self theory (DST) to investigate the role of interpersonal and intrapersonal voices in facilitating knowledge construction. We…
Descriptors: Self Concept, Concept Formation, Discourse Analysis, Computer Assisted Instruction
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Crook, Charles – International Journal of Computer-Supported Collaborative Learning, 2022
This article discusses the integration of three concepts central to the enterprise of computer-supported collaborative learning: namely, collaboration scripts, self-regulation, and group awareness. It does so through consideration of five reports in this Special Issue that address the integration challenge. Various themes are extracted and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Perception, Metacognition
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Jinzhi Zhou; Cindy E. Hmelo-Silver; Zach Ryan; Christina Stiso; Danielle Murphy; Joshua Danish; Clark A. Chinn; Ravit Golan Duncan – International Journal of Computer-Supported Collaborative Learning, 2025
Disagreement is often perceived negatively, yet it can be beneficial for learning and scientific inquiry. However, students tend to avoid engaging in disagreement. Peer critique activities offer a promising way to encourage students to embrace disagreement, which supports learning as students articulate their ideas, making them available for…
Descriptors: Persuasive Discourse, Peer Evaluation, Criticism, Elementary School Students
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Tan, Jesmine S. H.; Chen, Wenli; Su, Junzhu; Su, Guo – International Journal of Computer-Supported Collaborative Learning, 2023
Peer feedback is known to have positive effects on knowledge improvement in a collaborative learning environment. Attributed to technology affordances, class-wide peer feedback could be garnered at a wider range in the networked learning environment. However, more empirical studies are needed to explore further the effects of type and depth of…
Descriptors: Peer Evaluation, Feedback (Response), Cooperative Learning, Computer Assisted Instruction
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Charlotte Beal; Rolf Steier – International Journal of Computer-Supported Collaborative Learning, 2024
In this study, we investigate how pre-service teachers' group dialogues emerged and intersected across time and space as students collaboratively constructed a video-based mind map to prepare for oral exams in a pedagogy course. The study was conducted as part of a design-based research project investigating the ways that video-based mind maps can…
Descriptors: Video Technology, Technology Uses in Education, Cooperative Learning, Concept Mapping
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Kazemitabar, Maedeh A.; Lajoie, Susanne P.; Li, Tianshu – International Journal of Computer-Supported Collaborative Learning, 2022
Computer-supported collaborative learning (CSCL) environments may at times become socio-emotionally tense and pose challenges that may have detrimental effects on mutual trust and shared mental models. Objective: This study aims to examine and classify general teamwork challenges in a novel but authentic CSCL setting (hackathon) to identify…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Teamwork, Barriers
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Baker, Michael J.; Schwarz, Baruch B.; Ludvigsen, Sten R. – International Journal of Computer-Supported Collaborative Learning, 2021
We present a critical perspective on the current state of research on educational dialogues, within and without Computer-Supported Collaborative Learning environments, in order to propose research perspectives in the intersection of these two domains. Our main proposal is that in order to integrate different types of human or machine analyzed data…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Data Analysis, Man Machine Systems
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