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Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
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Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
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Wenli Chen; Yiting Han; Jesmine Tan; Aileen Siew Cheng Chai; Qianru Lyu; Lyna – Journal of Computer Assisted Learning, 2024
Background: This study examined the effect of computer-supported collaborative argumentation (CSCA) on secondary school students' understanding of socio-scientific issues (SSI). Engaging students in collaborative argumentation is known to help with deepening their understanding of SSI. Methods: In this study, a mixed-method design is used to…
Descriptors: Computer Mediated Communication, Cooperative Learning, Persuasive Discourse, Science and Society
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Ye, Dan; Pennisi, Svoboda – Journal of Computer Assisted Learning, 2022
Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how…
Descriptors: Discourse Analysis, Computer Mediated Communication, Discussion Groups, Social Networks
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Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
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Jewoong Moon; Sheunghyun Yeo; Seyyed Kazem Banihashem; Omid Noroozi – Journal of Computer Assisted Learning, 2024
Background: Traditionally, understanding students' learning dynamics, collaboration, emotions, and their impact on performance has posed challenges in formative assessment. The complexity of monitoring and assessing these factors have often limited the depth and breadth of insights. Objectives: This study aims to explore the potential of…
Descriptors: Formative Evaluation, Nonverbal Communication, Outcomes of Education, Learning Analytics
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Wu, Bian; Hu, Yiling; Ruis, A. R.; Wang, Minhong – Journal of Computer Assisted Learning, 2019
Computational thinking (CT), the ability to devise computational solutions for real-life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence…
Descriptors: Thinking Skills, Problem Solving, Teaching Methods, College Students
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Lin, Feng; Chan, Carol K. K. – Journal of Computer Assisted Learning, 2018
This study characterized students' online collaborative discourse from a theory-building perspective and examined its relation to epistemic and conceptual understanding. Fifty-two fifth graders' Knowledge Forum discussions on electricity were analysed. Discourse moves were coded within the inquiry threads, and two key epistemic patterns were…
Descriptors: Computer Mediated Communication, Energy, Discourse Analysis, Cooperative Learning
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Chang, C.-J.; Chang, M.-H.; Liu, C.-C.; Chiu, B.-C.; Fan Chiang, S.-H.; Wen, C.-T.; Hwang, F.-K.; Chao, P.-Y.; Chen, Y.-L.; Chai, C.-S. – Journal of Computer Assisted Learning, 2017
Researchers have indicated that the collaborative problem-solving space afforded by the collaborative systems significantly impact the problem-solving process. However, recent investigations into collaborative simulations, which allow a group of students to jointly manipulate a problem in a shared problem space, have yielded divergent results…
Descriptors: Cooperative Learning, Problem Solving, Questionnaires, Feedback (Response)
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Häkkinen, P. – Journal of Computer Assisted Learning, 2013
Several studies have analysed and assessed online performance and discourse using quantitative and qualitative methods. Quantitative measures have typically included the analysis of participation rates and learning outcomes in terms of grades. Qualitative measures of postings, discussions and context features aim to give insights into the nature…
Descriptors: Computer Mediated Communication, Educational Technology, Technology Uses in Education, Statistical Analysis
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Chung, C-W.; Lee, C-C.; Liu, C-C. – Journal of Computer Assisted Learning, 2013
Mobile computers are now increasingly applied to facilitate face-to-face collaborative learning. However, the factors affecting face-to-face peer interactions are complex as they involve rich communication media. In particular, non-verbal interactions are necessary to convey critical communication messages in face-to-face communication. Through…
Descriptors: Computer Uses in Education, Educational Technology, Interaction, Peer Relationship
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Valtonen, T.; Havu-Nuutinen, S.; Dillon, P.; Vesisenaho, M. – Journal of Computer Assisted Learning, 2011
This paper reports a case study for developing lecture teaching in higher education by connecting simultaneously the benefits of face-to-face teaching and social software for capturing and sharing students' lecture notes. The study was conducted with 12 university students taking a degree course on pre-primary education. Data were collected on (1)…
Descriptors: Discourse Analysis, Content Analysis, Lecture Method, Cooperation
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Pachler, N.; Daly, C. – Journal of Computer Assisted Learning, 2009
This paper investigates the impact of Web. 2.0 technologies on the ways learning can be conceived of as a narrative process within contemporary contexts, using blogs as an illustrative example. It is premised on the concept of narrative as a way in which individuals represent and organize experience in order to learn from it and make it shareable…
Descriptors: Computer Mediated Communication, Educational Technology, Computer Uses in Education, Web Sites
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Ng, C. S. L.; Cheung, W. S.; Hew, K. F. – Journal of Computer Assisted Learning, 2012
Peer facilitation is proposed as a solution to counter limited interaction in asynchronous online discussions. However, there is a lack of empirical research on online peer facilitation. This study identifies, through cross-case comparison of two graduate-level blended courses attended by Asian Pacific students, the actual peer facilitation…
Descriptors: Interaction, Cultural Background, Graduate Study, Facilitators (Individuals)
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Salminen, T.; Marttunen, M.; Laurinen, L. – Journal of Computer Assisted Learning, 2010
This study investigates whether combining chat discussion and construction of an argument diagram stimulates students to formulate new ideas in practising argumentation. In this study, 16 secondary school students discussed vivisection and gender equality in pairs using both free and structured chat tools. In structured chat, the students selected…
Descriptors: Persuasive Discourse, Prior Learning, Secondary School Students, Visual Aids
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