网络学习课程推荐系统的开发

Kazunori Nishino, Y. Iribe, Shinji Mizuno, K. Aoki, Y. Fukumura
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引用次数: 1

摘要

现在人们期望开发一个电子学习系统,为每个学习者的学习方式提供适合的学习环境。在这项研究中,作者开发了一种方法来推荐适合学生的课程。学生对某门课程的课程适应性可以根据课程开始前的问卷调查结果,利用以往学生数据得出的多元回归模型进行评估。通过对学生各门课程的适应性评估,验证了该方法的有效性。在此基础上,阐述了利用该方法所能增加的在线学习课程推荐系统的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of a course recommendation system for e-learning students
It is expected nowadays to develop an e-learning system which provides the learning environment suitable for each individual learner's learning style. In this study, the authors developed a method to recommend courses that are suitable for a student. A student's course adaptability for a particular course can be estimated based on the result gained from a questionnaire which is conducted prior to the beginning of the course by using the multiple regression models that has been derived from the past students' data. The validity of the developed method was confirmed to some extent by applying the method to assess the student's course adaptability for each ourse. Furthermore, this paper explains the functions of the e-learning course recommendation system that can be added by using the method.
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