Towards error-free and personalized Web-based courses

Hui-Huang Hsu, Chun-Jung Chen, Wen-Pin Tai
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引用次数: 19

Abstract

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 analyzes the relationship between student learning time and 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 personalized make-up course or appropriate advanced courses for further study. All these can be done automatically without interfering the student learning and/or increasing the instructor working load In our design, all Web courses are dynamically assembled with selected course units.
迈向无差错和个性化的网络课程
为每个学生提供合适的学习内容是基于网络的远程学习系统成功的关键。学生的测试结果可以作为教师重新评估课程内容的重要反馈。建立了一个测试结果反馈模型,分析了学生学习时间与相应测试结果之间的关系,该模型可以为教师改进课程内容提供重要信息。它还可以为学生提供个性化的补习课程或适当的高级课程以供进一步学习。所有这些都可以自动完成,而不会干扰学生的学习和/或增加教师的工作量。在我们的设计中,所有Web课程都与选定的课程单元动态地组合在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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