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