Research and design of applying association rule in Course Management System

Author

Tang, Ningjiu ; Chen, Zhi ; Lin, Tao ; Cui, Jie

Author_Institution

Coll. of Comput. Sci., Sichuan Univ., Chengdu, China

fYear

2012

fDate

21-23 April 2012

Firstpage

3394

Lastpage

3398

Abstract

Course Management System (CMS) is web-based system which is designed to simplify, streamline, and automate many aspects of the course´s management. But, traditional CMS has some problems in helping teachers gathering students´ information. In this paper, we have designed a framework of association rules application called ARMOCMS, and implemented the prototype on Moodle platform, which is a popular open-source CMS. We adopted an improved version of PredictiveApriori algorithm to mine data. Specifically, we integrate the experience evaluation of experts and subjective evaluation of teachers into the system´s knowledge base. And then, the system will form weighted precision with rules being mined to strengthen the subjective interestingness evaluation. Besides, the system can provide some suggestions to enhance the intelligibility of rules. The rules which are not matched will be classified according to their novelty in rank. The experiment result shows that our work can help teachers make better decisions.

Keywords

Internet; courseware; data mining; decision making; design engineering; educational courses; knowledge based systems; public domain software; ARMOCMS; Moodle platform; PredictiveApriori algorithm; Web-based system; association rule; course management system; data mining; decision making; open-source CMS; rules intelligibility; subjective interestingness evaluation; system knowledge base; Algorithm design and analysis; Association rules; Educational institutions; Knowledge based systems; Prediction algorithms; Association Rule; Course Management System; Data Mining; Moodle Platform;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6201470

Filename

6201470