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Liu, Shuangyan; Joy, Mike and Griffiths, Nathan
(2008).
Abstract
Collaborative learning enables individual learners to combine their own expertise, experience and ability to accomplish a mutual learning goal. The grouping of learners, and learning from social interactions with peer-learners, are two basic characteristics of collaborative learning. For individual learners to benefit from collaborative learning, individual learners with different characteristics must be grouped together. In this paper, we propose a computer-supported collaborative learning model which incorporates learning styles for improving collaborative learning. The proposed model is novel since it can provide overall support for collaborative learning. In addition, the way we have incorporated learning styles in the model is a new approach to constituting heterogeneous groups containing learners with dissimilar learning styles and detect learning styles through monitoring collaborative interactions.
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About
- Item ORO ID
- 42145
- Item Type
- Conference or Workshop Item
- Extra Information
- Workshop at the 16th International Conference on Computers in Education (ICCE 2008)
- Keywords
- collaborative learning; group formation; monitoring collaborative interaction; learning styles; computer-supported collaborative learning model
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2008 The Authors
- Related URLs
- Depositing User
- Shuangyan Liu