Equal opportunity tactic: Balancing winning probabilities in a competitive classroom game

Hercy N.H. Cheng, Winston M.C. Wu, Calvin C.Y. Liao, Tak Wai Chan

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

The outcome of competition is heavily ability dependent - the more-able students always win while the less-able lose. However, individual abilities are different. Students who consistently demonstrate lower performance than their peers may feel discouraged and frustrated. These lower-performance students hardly have the same winning probabilities as more-able students. In this study the authors design equal opportunity tactic to moderate the difference in performance between more-able and less-able students. The tactic is incorporated into a competitive learning game, AnswerMatching, by assigning every student an opponent with similar ability. A preliminary experiment was also conducted to investigate the effects of the tactic. Results showed that the tactic could balance the performance as well as the belief about how well students could achieve. That is, less-able students could have similar winning probabilities to more-able students.

原文英語
主出版物標題Proceedings of the 17th International Conference on Computers in Education, ICCE 2009
頁面713-717
頁數5
出版狀態已發佈 - 2009
對外發佈
事件17th International Conference on Computers in Education, ICCE 2009 - Hong Kong, 香港
持續時間: 十一月 30 2009十二月 4 2009

出版系列

名字Proceedings of the 17th International Conference on Computers in Education, ICCE 2009

會議

會議17th International Conference on Computers in Education, ICCE 2009
國家/地區香港
城市Hong Kong
期間11/30/0912/4/09

ASJC Scopus subject areas

  • 電腦科學(雜項)
  • 教育

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