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題名 Learning Performance Assessment Approach Using Web-based Learning Portfolios for E-learning Systems,
作者 陳志銘
Chen, Chih-Ming
貢獻者 政大圖檔所
關鍵詞 Data mining;Web-based learning;Web-based learning portfolio;learning performance assessment
日期 2007-11
上傳時間 2013-04-18
摘要 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.
關聯 IEEE Transactions on Systems, Man, and Cybernetics - Part C, 37(6), 1349-1359
資料類型 article
DOI http://dx.doi.org/10.1109/TSMCC.2007.900641
dc.contributor 政大圖檔所en_US
dc.creator (作者) 陳志銘zh_TW
dc.creator (作者) Chen, Chih-Mingen_US
dc.date (日期) 2007-11en_US
dc.date.accessioned 2013-04-18-
dc.date.available 2013-04-18-
dc.date.issued (上傳時間) 2013-04-18-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/57640-
dc.description.abstract (摘要) 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.en_US
dc.language.iso en_US-
dc.relation (關聯) IEEE Transactions on Systems, Man, and Cybernetics - Part C, 37(6), 1349-1359en_US
dc.subject (關鍵詞) Data mining;Web-based learning;Web-based learning portfolio;learning performance assessmenten_US
dc.title (題名) Learning Performance Assessment Approach Using Web-based Learning Portfolios for E-learning Systems,en_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1109/TSMCC.2007.900641en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/TSMCC.2007.900641en_US