Development of a Reading Material Recommendation System Based on a Multi-expert Knowledge Acquisition Approach

Author

Hsu, Ching-Kun ; Chang, Chih-Kai ; Hwang, Gwo-Jen

Author_Institution

Dept. Inf. & Learning Technol., Nat. Univ. of Tainan, Tainan, Taiwan

fYear

2009

fDate

15-17 July 2009

Firstpage

273

Lastpage

277

Abstract

In English courses, it is very important to assign proper articles to individual students for training their reading ability. This study proposes an innovative approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. An experiment has been conducted to evaluate the performance of the approach; moreover, a comparison on the existing approaches is given to show the advantages of applying the innovative approach.

Keywords

computer aided instruction; educational courses; expert systems; information filtering; knowledge acquisition; English course; domain knowledge; expert system; multiexpert knowledge acquisition; reading ability; reading material recommendation system; training; Cities and towns; Conducting materials; Data mining; Education; Electronic learning; Expert systems; Information analysis; Intelligent systems; Knowledge acquisition; Learning systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on

Conference_Location

Riga

Print_ISBN

978-0-7695-3711-5

Electronic_ISBN

978-0-7695-3711-5

Type

conf

DOI

10.1109/ICALT.2009.168

Filename

5194224