Title :
DMCMS: A Data Mining Based Course Management System
Author :
Kan, Liu ; Xingyuan, Xiao ; Ping, Liu
Author_Institution :
Sch. of Inf., Zhongnan Univ. of Econ. & Law, Wuhan, China
Abstract :
In this paper, a course management system has been designed on the basis of data mining methods such as association rules, classification and clustering. This system aims at analyzing the hidden relationship between the students´ academic grades and various data of students´ performance in class, and the findings can be used as guidance for better teaching and learning in the future.
Keywords :
data mining; educational courses; information systems; pattern classification; pattern clustering; academic grades; association rules; classification; clustering; data mining based course management system; students performance; Association rules; Data analysis; Data mining; Decision trees; Education; Information analysis; Information management; Performance analysis; Technology management; Writing; course management; data mining; information systems;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.392
