DocumentCode :
3315870
Title :
E-Learning Evaluation System Based on Data Mining
Author :
Wang, Lingyan ; Li, Jian ; Ding, Lulu ; Li, Pengkun
Author_Institution :
Coll. of Foreign Languages & Commun., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
fYear :
2010
fDate :
23-25 July 2010
Firstpage :
1
Lastpage :
3
Abstract :
The application of data mining in E-Learning evaluation system is discussed in this paper. Students´ learning behavior data are first collected and analyzed. Then, with the support of data mining technology, the relationship between learning behavior and learning effect is studied and the decision tree model is established by using J4.8 algorithm on the Weka platform. Finally, the model is assessed and the accuracy rate of it can reach almost 86.7%. Thus the method proposed can be used in E-Learning evaluation system to evaluate students´ learning behavior.
Keywords :
computer aided instruction; data mining; decision trees; E-learning evaluation system; J4.8 algorithm; Weka platform; data mining; decision tree model; learning behavior; Computer aided instruction; Data engineering; Data mining; Data processing; Databases; Decision trees; Education; Educational institutions; Electronic learning; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-1-4244-6972-7
Electronic_ISBN :
978-1-4244-6974-1
Type :
conf
DOI :
10.1109/IEEC.2010.5533204
Filename :
5533204
Link To Document :
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