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

Kuo Liang Ou, Chin Yeh Wang, Gwo Dong Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
頁面5566-5572
頁數7
出版狀態已出版 - 2005
事件International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
持續時間: 18 8月 200521 8月 2005

出版系列

名字2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???International Conference on Machine Learning and Cybernetics, ICMLC 2005
國家/地區China
城市Guangzhou
期間18/08/0521/08/05

指紋

深入研究「Identify group roles by text mining on group discussion in a Web-based learning system」主題。共同形成了獨特的指紋。

引用此