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Identify group roles by text mining on group discussion in a Web-based learning system

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3 Author(s)
Kuo-Liang Ou ; Dept. of Math. Educ., Nat. Hsin-Chu Teachers Coll., Hsinchu, Taiwan ; Chin-Yeh Wang ; Gwo-Dong Chen

To explore how group member behaviour influences group performance, most studies stress on the influences of group leadership. However, the existence of member-roles is also an effective indicator of group performance, meanwhile; teachers have difficult to extract the member-roles which students play on a Web-based learning system. This research (1) assist teachers to extract group social communication patterns when monitoring students' social communication (2) assist teachers to extract member-roles that may influence the group learning performance, and (3) assist teachers to extract the influence of member-roles on group learning performance and help teachers to promote group to learn better on Web group learning environment. This research derives 11 member-roles by exploring communication with teachers expert knowledge and criteria, and extracting the influence on four primary group performance indicators: (1) individual grades, (2) group project grade, (3) resource-sharing frequency, and (4) group drop out rate. The statistical analysis method shows that most of the member-roles have significant influence on group learning performance.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:9 )

Date of Conference:

18-21 Aug. 2005