Unsupervised learning algorithm for adaptive group formation: Collaborative learning support in remotely accessible laboratories
Skills and knowledge that can be gained by groups of individuals will be affected by the characteristics of those groups. Systematic formation of the groups could therefore potentially lead to significantly improved learning outcomes. This research explores a framework for group formation that conti...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6285045 http://hdl.handle.net/20.500.11937/23485 |