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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
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
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
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
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
Mochizuki, Toshio; Sasaki, Hiroshi; Wakimoto, Takehiro; Kubota, Yoshihiko; Eagan, Brendan; Hirayama, Ryoya; Yamaguchi, Yuta; Yuki, Natsumi; Funaoi, Hideo; Suzuki, Hideyuki; Kato, Hiroshi – International Journal of Computer-Supported Collaborative Learning, 2022
This study examined microteaching using computer-supported collaborative learning (CSCL) to assist student teachers in anticipating student voices and achieving authentic role-play. To achieve this, the design had two manipulatives: tangible puppets as "mediating manipulatives" that allow student teachers to elicit a variety of imaginary…
Descriptors: Microteaching, Computer Assisted Instruction, Cooperative Learning, Role Playing
Sini Davies; Pirita Seitamaa-Hakkarainen; Kai Hakkarainen – International Journal of Computer-Supported Collaborative Learning, 2024
This study analyzed collaborative invention projects by teams of lower-secondary (13-14-year-old) Finnish students. In invention projects, student teams design and make materially embodied collaborative inventions using traditional and digital fabrication technologies. This investigation focused on the student teams' knowledge creation processes…
Descriptors: Cooperative Learning, Foreign Countries, Secondary School Students, Intellectual Property
Chen, Wenli; Tan, Jesmine S. H.; Pi, Zhongling – International Journal of Computer-Supported Collaborative Learning, 2021
While there are many studies on students' collaborative learning at the small group level, pedagogies and strategies for supporting students' collaborative learning at the class level are underexplored. This study proposes a pedagogical model named the Spiral Model of Collaborative Knowledge Improvement (SMCKI) to inform the design and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Technological Literacy, Pedagogical Content Knowledge
Slakmon, Benzi; Keynan, Omer; Shapira, Orly – International Journal of Computer-Supported Collaborative Learning, 2022
This study examines emotion regulation strategies in written digital discussions revolving around controversial issues. Twenty-five undergraduate students, placed in five study groups, took part in written digital discussions. Two groups were chosen to participate in the study. Participants were interviewed and were asked to read the transcript of…
Descriptors: Undergraduate Students, Emotional Response, Written Language, Computer Mediated Communication
Amarasinghe, Ishari; Hernández-Leo, Davinia; Ulrich Hoppe, H. – International Journal of Computer-Supported Collaborative Learning, 2021
Under the notion of "CSCL scripts", different pedagogical models for structuring and supporting collaboration in the classroom have been proposed. We report on a practical experience with scripts based on the Pyramid collaborative learning flow pattern supported by a specific classroom tool and a teacher-facing dashboard that implements…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Scripts, Learning Analytics
Zheng, Lanqin; Cui, Panpan; Zhang, Xuan – International Journal of Computer-Supported Collaborative Learning, 2020
This study reports on a novel design methodology, namely, design-centered research (DCR), developed to analyze and evaluate the alignment between an online collaborative learning design and its enactment. The approach is illustrated in a study involving 40 groups in total. Twenty different online collaborative learning activities were designed and…
Descriptors: Cooperative Learning, Instructional Design, Alignment (Education), Computer Assisted Instruction
Li, Shupin; Pöysä-Tarhonen, Johanna; Häkkinen, Päivi – International Journal of Computer-Supported Collaborative Learning, 2022
In today's digital society, computer-supported collaborative learning (CSCL) and collaborative problem solving (CPS) have received increasing attention. CPS studies have often emphasized outcomes such as skill levels of CPS, whereas the action transitions in the paths to solve the problems related to these outcomes have been scarcely studied. The…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Problem Solving, Network Analysis
Yue Ma; Huilin Zhang; Li Ni; Da Zhou – International Journal of Computer-Supported Collaborative Learning, 2023
Understanding how individuals collaborate with others is a complex undertaking, because collaborative problem-solving (CPS) is an interactive and dynamic process. We attempt to identify distinct collaborative problem-solver profiles of Chinese 15-year-old students on a computer-based CPS task using process data from the 2015 Program for…
Descriptors: Cooperative Learning, Problem Solving, Profiles, Computer Literacy
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
Saqr, Mohammed; Viberg, Olga; Vartiainen, Henriikka – International Journal of Computer-Supported Collaborative Learning, 2020
The increasing use of digital learning tools and platforms in formal and informal learning settings has provided broad access to large amounts of learner data, the analysis of which has been aimed at understanding students' learning processes, improving learning outcomes, providing learner support as well as teaching. Presently, such data has been…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Social Networks, Network Analysis