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 en_US
ISSN 1539-3119
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 否
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104263 )