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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
Lubna Hakami; Davinia Hernández-Leo; Ishari Amarasinghe; Batuhan Sayis – British Journal of Educational Technology, 2024
Despite the growing interest in using multimodal data to analyse students' actions in Computers-Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Teacher Responsibility, Faculty Workload
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
Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
Anne Edstrom; Jennifer Ewald – NECTFL Review, 2025
Online learning programs provide real time feedback and offer some degree of access to "real" oral communication, yet these platforms, for the most part, involve using the software in isolation. Though Rosetta Stone is designed for independent learning, the present study experiments with a model for implementing it as a collaborative…
Descriptors: Cooperative Learning, Second Language Learning, Computer Assisted Instruction, Italian
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
René Lobo-Quintero; Roberto Sánchez-Reina; Davinia Hernández-Leo – Journal of Learning Analytics, 2024
Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Student Participation
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
Xiaoshan Li; Chong Peng – Science & Education, 2025
Collaborative argumentation is a powerful means to promote conceptual understanding of scientific concepts for which students have robust misconceptions. However, eliciting and maintaining productive collaborative argumentation is known to be difficult. Moreover, it is unclear whether and how the factor of communication media might enable or…
Descriptors: Communications, Mass Media, Persuasive Discourse, Cooperative Learning
Lili Zhang – Educational Technology Research and Development, 2025
Group awareness tools have garnered significant interest within the realm of computer-supported collaborative learning (CSCL), as they foster collaborative learning behaviors. However, in the context of a CSCL environment devoid of rich technologies, supporting group awareness is challenging. Contextualized in a teacher professional development…
Descriptors: Cooperative Learning, Computer Assisted Instruction, College Students, Foreign Countries
Mariano Velamazán; Patricia Santos; J. Roberto Sánchez-Reina; Davinia Hernández-Leo – Education and Information Technologies, 2025
Most research on anonymity in computer-supported collaborative learning, which has reported both positive and negative outcomes, largely focuses on a fully anonymous login mode. In this context, further research is necessary to finetune the approach to the 'login mode' to optimise the potential benefits while mitigating the drawbacks. This study…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Privacy, Computer Mediated Communication
Peer Interactions during Computer-Supported Collaborative Learning: A Self-Determination Perspective
Anouschka van Leeuwen; Lisette Hornstra; Jeroen Janssen; En Ning Leow – Journal of Computer Assisted Learning, 2025
Background: Computer-supported collaborative learning (CSCL) environments are hypothesised to offer a learning environment that satisfies basic psychological needs for autonomy, relatedness and competence, subsequently improving learning and motivational outcomes. However, the underlying mechanism of how basic psychological needs are fulfilled…
Descriptors: Peer Relationship, Interaction, Computer Assisted Instruction, Cooperative Learning
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
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
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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