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Showing 1 to 15 of 330 results Save | Export
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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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Kenneth Silseth; Rolf Steier; Hans Christian Arnseth – International Journal of Computer-Supported Collaborative Learning, 2024
By adopting a situated and interactional approach, we explore students' immersive VR experiences as resources for collaborative meaning making and learning. We draw on data from a project in which teachers and researchers co-developed a learning design for upper secondary students involving immersive VR technology. In this learning design,…
Descriptors: Foreign Countries, Secondary School Students, Computer Simulation, Constructivism (Learning)
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Anna Keune – International Journal of Computer-Supported Collaborative Learning, 2024
A key commitment of computer-supported collaborative learning research is to study how people learn in collaborative settings to guide development of methods for capture and design for learning. Computer-supported collaborative learning research has a tradition of studying how the physical world plays a part in collaborative learning. Within the…
Descriptors: Design Crafts, Visual Arts, Algorithms, Cooperation
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Hannah Park; Diane L. Schallert; Kyle M. Williams; Rachel E. Gaines; Jeonghyun Lee; Eunjeong Choi – International Journal of Computer-Supported Collaborative Learning, 2024
This study extends research on perspectival understanding (Greeno & van de Sande, 2007) by using Du Bois' (2007) discourse work on stancetaking to investigate how students expressed their perspectives on course content through a variety of stances/positions as they negotiated meaning in online discussions. Participants were students in a…
Descriptors: Computer Mediated Communication, Synchronous Communication, Discussion (Teaching Technique), Blended Learning
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Saqr, Mohammed; López-Pernas, Sonsoles – International Journal of Computer-Supported Collaborative Learning, 2023
Early research on online PBL explored student satisfaction, effectiveness, and design. The temporal aspect of online PBL has rarely been addressed. Thus, a gap exists in our knowledge regarding how online PBL unfolds: when and for how long a group engages in collaborative discussions. Similarly, little is known about whether and what sequence of…
Descriptors: Online Courses, Problem Based Learning, Interaction, Group Dynamics
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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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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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Silva, Leonardo; Mendes, António; Gomes, Anabela; Fortes, Gabriel – International Journal of Computer-Supported Collaborative Learning, 2023
The use of computational scaffolding is a crucial strategy to foster students' regulation of learning skills, which is associated with increased learning achievement. However, most interventions treat the regulatory processes as individual actions isolated from a social context. This view contradicts the most recent research that points to the…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Learning Processes, Computation
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Ouyang, Fan; Xu, Weiqi; Cukurova, Mutlu – International Journal of Computer-Supported Collaborative Learning, 2023
Collaborative problem solving (CPS) enables student groups to complete learning tasks, construct knowledge, and solve problems. Previous research has argued the importance of examining the complexity of CPS, including its multimodality, dynamics, and synergy from the complex adaptive systems perspective. However, there is limited empirical…
Descriptors: Artificial Intelligence, Learning Analytics, Cooperative Learning, Problem Solving
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Lui, Michelle; Chong, Kit-Ying Angela; Mullally, Martha; McEwen, Rhonda – International Journal of Computer-Supported Collaborative Learning, 2023
This paper explores the affordances of virtual reality (VR) simulations for facilitated model-based reasoning. Thirty-four undergraduate students engaged with simulated scientific models in head-mounted displays and their facilitator in a co-located mixed-presence configuration. We coded the facilitator--participant interactions using the…
Descriptors: Computer Simulation, Simulation, Thinking Skills, Affordances
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Zimmerman, Heather Toomey; Land, Susan M.; Faimon, Lillyanna; Chiu, Yu-Chen – International Journal of Computer-Supported Collaborative Learning, 2023
We investigated how families experienced immersion as they collaboratively made sense of geologic time and geoscience processes during a place-based, learning-on-the-move (LOTM) experience mediated by a mobile augmented reality (MAR) app. Our team developed an MAR app, "Time Explorers," that focused on how rock-water interactions shaped…
Descriptors: Handheld Devices, Computer Simulation, Family Involvement, Cooperative Learning
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Planey, James; Rajarathinam, Robin Jephthah; Mercier, Emma; Lindgren, Robb – International Journal of Computer-Supported Collaborative Learning, 2023
Extended reality technologies such as headset-based augmented reality (AR) unlock unique opportunities to integrate gestures into the collaborative problem-solving process. The following qualitative study documents the collection and analysis of group interaction data in an astronomy sky simulation across AR and tablet technologies in a classroom…
Descriptors: Nonverbal Communication, Assistive Technology, Cooperative Learning, Problem Solving
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Tu, Xintian; Danish, Joshua; Humburg, Megan; Zhou, Mengxi; Mathayas, Nitasha; Enyedy, Noel; Jen, Tessaly – International Journal of Computer-Supported Collaborative Learning, 2023
While there is increased interest in using movement and embodiment to support learning due to the rise in theories of embodied cognition and learning, additional work needs to be done to explore how we can make sense of students collectively developing their understanding within a mixed-reality environment. In this paper, we explore embodied…
Descriptors: Science Education, Computer Simulation, Nonverbal Communication, Concept Formation
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Huang, Wen; Walkington, Candace; Nathan, Mitchell J. – International Journal of Computer-Supported Collaborative Learning, 2023
This study investigates how learners collaboratively construct embodied geometry knowledge in shared VR environments. Three groups of in-service teachers collaboratively explored six geometric conjectures with various virtual objects (geometric shapes) under the guidance of a facilitator. Although all the teachers were in different physical…
Descriptors: Cooperative Learning, Geometry, Mathematics Education, Computer Simulation
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Zong, Zheng; Schunn, Christian D. – International Journal of Computer-Supported Collaborative Learning, 2023
Online peer feedback has proven to be practically useful for instructors and to be useful for learning, especially for the feedback provider. Because students can vary widely in skill level, some research has explored matching reviewer and author by performance level. However, past research on the impacts of reviewer matching has found little…
Descriptors: Computer Mediated Communication, Feedback (Response), Peer Evaluation, Biology
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