DocumentCode :
2826920
Title :
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
Link To Document :
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