Preliminary Study on Educational Recommender System

被引：0

作者：

Adam, Noor Latiffah ^{[1
]}

Zulkafli, Muhammad Alif ^{[1
]}

Soh, Shaharuddin Cik ^{[1
]}

Kamal, Nor Ashikin Mohamad ^{[1
]}

机构：

[1] Univ Teknol MARA, Fac Comp & Math Sci, Dept Comp Sci, Shah Alam, Malaysia

来源：

2017 IEEE CONFERENCE ON E-LEARNING, E-MANAGEMENT AND E-SERVICES (IC3E) | 2017年

关键词：

calculus; online learning; recommender system; self-regulated learning;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Recommender systems nowadays have been implemented in various fields. It helps its user to suggest the items based on user's preferences. Calculus is one of the tough subjects feared by most students. Thanks to the technology, many sources on the web can supply tutorials, working examples and solutions on the subject. However, there are too many of them. The students need to make selection, which one can fulfill their needs of specific calculus topics. The aim of this paper is to give a general overview and preliminary study on RS and review some similar education systems available.

引用

页码：97 / 101

页数：5

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