Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/57640


Title: Learning Performance Assessment Approach Using Web-based Learning Portfolios for E-learning Systems,
Authors: 陳志銘
Chen, Chih-Ming
Contributors: 政大圖檔所
Keywords: Data mining;Web-based learning;Web-based learning portfolio;learning performance assessment
Date: 2007-11
Issue Date: 2013-04-18
Abstract: Learning performance assessment aims to evaluate what learners learnt during the learning process. In recent years, how to perform the learning performance assessment is a critical issue in the web-based learning field. The traditional summative evaluation can be applied to evaluate the learning performance both for the conventional classroom learning and web-based learning. However, it only considers final learning outcomes without considering the learning progress of learners. This paper proposes a learning performance assessment approach which combines four computational intelligence theories including grey relational analysis, K-means clustering method, fuzzy association rule mining and fuzzy inference to perform this task based on the learning portfolio of individual learner. Experimental results indicate that the evaluation result of proposed method is positive relevance with those of summative assessment. Namely, this method can help teachers to precisely perform the formative assessment for individual learner utilizing only the learning portfolio in web-based learning environment.
Relation: IEEE Transactions on Systems, Man, and Cybernetics - Part C, 37(6), 1349-1359
Data Type: article
DOI 連結: http://dx.doi.org/10.1109/TSMCC.2007.900641
Appears in Collections:[圖書資訊與檔案學研究所] 期刊論文

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