政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75892
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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/75892


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    题名: Using Mutual Information for Adaptive Item Comparison and Student Assessment
    作者: Liu, Chao-lin
    劉昭麟
    贡献者: 資科系
    关键词: Educational assessments;Item selection;Intelligent tutoring;Mutual information;Bayesian networks;Mahalanobis distance;Classification;Adaptive interfaces;Uncertain reasoning
    日期: 2005
    上传时间: 2015-06-17 15:44:17 (UTC+8)
    摘要: The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies along with some common and conceivable methods, including mutual information-based methods and Euclidean and Mahalanobis distance-based methods, for student classification are evaluated in a simulation-based environment. The simulator relies on Bayesian networks for capturing the uncertainty in students’ responses to test items. Simulated results indicate that the heuristics built upon the theoretical properties offer satisfactory performance profiles for item selection, and, not surprisingly, mutual information-based methods offer better performance for the task of student classification than distance-based methods.
    關聯: Educational Technology & Society - ETS , vol. 8, no. 4, pp. 100-119
    数据类型: article
    显示于类别:[資訊科學系] 期刊論文

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