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Ferguson, R. – Journal of Computer Assisted Learning, 2010
This study investigates how university students on distance learning courses experience interaction with their peers. Students on two distance learning courses at The Open University (UK) were interviewed, to investigate learners' experience of interaction on these courses. The analysis, using a grounded-theory approach, reveals disparities…
Descriptors: Foreign Countries, Distance Education, Online Courses, Web Based Instruction
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Jones, C. R.; Ferreday, D.; Hodgson, V. – Journal of Computer Assisted Learning, 2008
In this paper, we explore the idea of weak ties in networked learning. We go back to the original conception of the strength of weak ties and relate this to Bakhtin and a dialogic understanding of networked learning. These theoretical ideas are applied to the examination of two networked settings in which educational leaders exchange ideas and…
Descriptors: Proximity, Computer Mediated Communication, Learning Theories, Learning Processes
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Prinsen, F. R.; Volman, M. L. L.; Terwel, J. – Journal of Computer Assisted Learning, 2007
A question associated with the introduction of computer-supported collaborative learning (CSCL) is whether all participants profit equally from working in CSCL environments. This article reports on a review study into gender-related differences in participation in CSCL. As many of the processes in CSCL are similar to those in computer-mediated…
Descriptors: Gender Differences, Computer Mediated Communication, Cooperative Learning, Computer Assisted Instruction
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Barrett, E.; Lally, V. – Journal of Computer Assisted Learning, 1999
Explores gender differences in the use of computer-mediated communication in a specific learning context by a small group of postgraduate distance learners and their tutors at the University of Sheffield. Uses content analysis of online dialog to investigate learning and socioemotional behavior. (Author/LRW)
Descriptors: Affective Behavior, Computer Assisted Instruction, Computer Mediated Communication, Content Analysis