Gender heterogeneous groups in cooperative learning applied in "robots in creative course": A pilot study

Chen Yi Wang*, Tzu Chien Liu, Yi Chun Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Cooperative learning is often adopted as a teaching strategy when robots are introduced into the classroom. Previous research suggested that there was a relative correlation between a group's level of interaction and its gender composition. In this study, we utilized experimental design to explore the degree of satisfaction and involvement when students learning with "robots in creative course" in terms of its varied gender composition (male group, female group, gender-mixed group). Analysis of the questionnaire results demonstrates that the gender-mixed group and male group claim higher degrees of satisfaction and involvement of "robots in creative course" than the female group. The instruction suggests and recommendations for future research are made.

Original languageEnglish
Title of host publicationLearning by Playing
Subtitle of host publicationGame-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings
Pages506-511
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event4th International Conference on E-Learning and Games, Edutainment 2009 - Banff, AB, Canada
Duration: 2009 Aug 92009 Aug 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5670 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on E-Learning and Games, Edutainment 2009
Country/TerritoryCanada
CityBanff, AB
Period2009/08/092009/08/11

Keywords

  • Cooperative Learning
  • Gender heterogeneous groups
  • Robots

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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