Using role theory in monitoring web group learning systems

Gwo Dong Chen, Chin Yeh Wang, Kuo Liang Ou, Baw Jhiune Liu

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

2 Scopus citations

Abstract

Role theory has been proposed to explain group teamwork. Thus, it may also be valid to explain group learning performance. However, teachers in both conventional classrooms and web learning systems find it difficult to figure out what role a student played in a group and what relationship exists between roles and group performance. In a web learning system, interactions among group members can be recorded in a database. Computer tools can be developed to do the tasks for teachers. In this paper we develop a tool to capture the roles that a student plays in her/his learning group. Then, tools using machine learning techniques are built to find the relationship between existence of roles and group performance. A tool was then built to predict the group performance based on the relationship captured. An experimental result is shown that demonstrates that role theory is effective to predict group performance.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computers in Education, ICCE 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages884-888
Number of pages5
ISBN (Electronic)0769515096, 9780769515090
DOIs
StatePublished - 2002
EventInternational Conference on Computers in Education, ICCE 2002 - Auckland, New Zealand
Duration: 3 Dec 20026 Dec 2002

Publication series

NameProceedings - International Conference on Computers in Education, ICCE 2002

Conference

ConferenceInternational Conference on Computers in Education, ICCE 2002
Country/TerritoryNew Zealand
CityAuckland
Period3/12/026/12/02

Keywords

  • Group member roles analysis
  • group's social interaction
  • web-based collaborative learning

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