偏爱
匹配(统计)
体验式学习
确认
心理学
偏好学习
数学教育
补偿(心理学)
基于游戏的学习
倾向得分匹配
计算机科学
社会心理学
统计
数学
计算机安全
作者
Li-Chun Wang,Ming Puu Chen
标识
DOI:10.1080/14703290903525838
摘要
Abstract Learning to program is difficult for novices, even for those undergraduates who have majored in computer science. The study described in this paper has investigated the effects of game strategy and preference‐matching on novice learners’ flow experience and performance in learning to program using an experiential gaming activity. One hundred and fifteen novices participated in the experimental activity. Two types of game strategy were employed: the matching‐challenging strategy and the challenging strategy. Participants were categorised into one or other of the two groups based on individual preferences. The results of the study showed that: (1) the challenging group had higher flow experiences than the matching‐challenging group; (2) participants’ performance was enhanced with the use of the matching strategy; and (3) a compensation effect existed among the preference‐mismatched learners who performed better in the challenging game‐play. Keywords: game‐based learningexperiential learningprogramming Acknowledgement This study was supported by the National Science Council of Taiwan under the Grants NSC 96‐2629‐S‐003‐001 and NSC 97‐2511‐S‐003‐008‐MY2.
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