關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Mining Test Results to Personalise and Refine Web-Based Courses

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序號 學年期 教師動態
1 98/2 資訊系 許輝煌 教授 期刊論文 發佈 Mining Test Results to Personalise and Refine Web-Based Courses , [98-2] :Mining Test Results to Personalise and Refine Web-Based Courses期刊論文Mining Test Results to Personalise and Refine Web-Based CoursesHsu, Hui-Huang淡江大學資訊工程學系distance education;web mining;personalised courses;course refinement; TRF;test results feedback;feedback models;e-learning;electronic learning;online learning;appropriate learning content;distance learningOlney: Inderscience EnterprisesInternational Journal of Applied Systemic Studies 3(2), pp.183-191100學年度許輝煌升等參考著作Providing appropriate learning content to each student is a key to the success of a web-based distance learning system. Student test results can be an important feedback for the instructor to re-evaluate the course content. A Test Result Feedback (TRF) model that analyses the relationship between student learning time and the corresponding test result is developed. The model can give the instructor crucial information for course content refinement. It can also suggest the student with a personalised remedial course or appro
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