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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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Kruskopf, Milla; Hakkarainen, Kai; Li, Shupin; Lonka, Kirsti – Journal of Computer Assisted Learning, 2021
The rise of modern socio-digital technologies has fundamentally changed the everyday environments in which young people communicate with each other and cultivate interests. To gain a more sophisticated understanding of this phenomenon, this study provides in-depth, qualitative insights into adolescents' experiences of their socio-digital…
Descriptors: Adolescents, Computer Mediated Communication, Friendship, Interests
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Sun, Z.; Liu, R.; Luo, L.; Wu, M.; Shi, C. – Journal of Computer Assisted Learning, 2017
The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher…
Descriptors: Cooperative Learning, Blended Learning, Social Networks, Network Analysis
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Jo, I.; Park, Y.; Lee, H. – Journal of Computer Assisted Learning, 2017
An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis…
Descriptors: Computer Mediated Communication, Interaction Process Analysis, Undergraduate Students, Predictor Variables
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Jimoyiannis, A.; Angelaina, S. – Journal of Computer Assisted Learning, 2012
Educational blogs are currently gaining in popularity in schools and higher education institutions, and they are widely promoted as collaborative tools supporting students' active learning. However, literature review on educational blogging revealed a lack of a complete and consistent framework for studying and assessing students' engagement and…
Descriptors: Foreign Countries, Active Learning, Learner Engagement, Communities of Practice
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Eynon, R.; Malmberg, L.-E. – Journal of Computer Assisted Learning, 2012
Information seeking is one of the most popular online activities for young people and can provide an additional information channel, which may enhance learning. In this study, we propose and test a model that adds to the existing literature by examining the ways in which parents, schools, and friends (what we call networks of support) effect young…
Descriptors: Information Seeking, Individual Characteristics, Internet, Path Analysis
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Manca, S.; Delfino, M.; Mazzoni, E. – Journal of Computer Assisted Learning, 2009
Analysis of interaction patterns is one of the most important indicators of quality of learning in educational web forums. Social network analysis (SNA) is gradually assuming importance in the study of interaction patterns as it focuses on the analysis of the interrelationships between individuals, thus providing a holistic perspective on group…
Descriptors: Semantics, Network Analysis, Interaction, Social Networks
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Enriquez, J. G. – Journal of Computer Assisted Learning, 2008
This article explores the social network of learning beyond a functional understanding of social relations. It describes and interprets the realities of networked learning within a particular postgraduate course in an English university setting. It draws attention to some of the limitations of the increasing interest in the use of social network…
Descriptors: Computer Mediated Communication, Network Analysis, Content Analysis, Social Networks