Research on autonomous online education system based on intelligent recommendation

Author

Tu, Qingsong ; Liu, Jian

Author_Institution

Hubei Univ. of Technol., Wuhan, China

Volume

2

fYear

2011

fDate

9-11 Dec. 2011

Firstpage

410

Lastpage

413

Abstract

Under the influence of the information technology, the traditional education faces new revolution opportunity. The online education system provides new way for the teachers and students which are more convenient and economical. To solve the problem of the existing online education system that can´t meet the high adaptability and individual demand of the learner, we introduced an autonomous online education system based on intelligent recommendation. This system can adjust the study tactics according to the study situation of the learner, and thus improves the effectiveness in the process of online studying. The demand analysis is carried out, the framework of the system is introduced, and the key technology is proposed in this paper. The research on the autonomous online education system based on intelligent recommendation provides new method for online education, which can be an important topic to be discussed.

Keywords

computer aided instruction; data mining; recommender systems; autonomous online education system; data mining; intelligent recommendation; online studying; Data analysis; Data mining; Databases; Education; Ontologies; Testing; data mining; intelligent recommendation; online education;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine and Education (ITME), 2011 International Symposium on

Conference_Location

Cuangzhou

Print_ISBN

978-1-61284-701-6

Type

conf

DOI

10.1109/ITiME.2011.6132136

Filename

6132136