教師資料查詢 | 類別: 期刊論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:Detection of Misconceptions and Misleading Questions by Using Quantitative Diagnostic Assessment
學年102
學期2
出版(發表)日期2014/04/01
作品名稱Detection of Misconceptions and Misleading Questions by Using Quantitative Diagnostic Assessment
作品名稱(其他語言)
著者Martin M. Weng; Wen-Chih Chang; Neil Y. Yen; Timothy K. Shih; Hui-Huang Hsu
單位
出版者
著錄名稱、卷期、頁數International Journal of Distance Education Technologies 12(2), pp.26-50
摘要Researches into E-Learning pay emphasis on how the technology is applied for comprehensive learning support in various perspectives. Lots of advantages are involved while performing the E-Learning. For example, timely contents are applicable to be delivered via the Internet, and in a similar manner, instant feedback which identifies the learning performance would be obtained through an online assessment system. In this article, a diagnostic approach for learning performance evaluation of student is proposed. Two primary issues are concentrated based on the analysis of quantitative assessment results. First the authors identify the misconceptions on specific subject(s) that students have learned and provide remedial suggestions about their learning status to students. Second, because questions may have several incorrect information to students, hence the authors approach provide suggested revisions to instructors. The proposed approach employs the Rule-Space model and the Student-Problem chart and is implemented in an online assessment system to obtain corresponding data (e.g., learning behavior) and performance (e.g., learning status). The feasibility is demonstrated through an empirical study (i.e., a series of pre-post tests) which was conducted in a domain-specific course (i.e., Fundamental of Information Technology) with around 450 students in a calendar year.
關鍵字
語言英文(美國)
ISSN1539-3119
期刊性質國外
收錄於EI;
產學合作
通訊作者Martin M. Weng
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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