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

Kuo Liang Ou, Chin Yeh Wang, Gwo Dong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages5566-5572
Number of pages7
StatePublished - 2005
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005

Publication series

Name2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/0521/08/05

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