DocumentCode :
169607
Title :
A Framework of Educational App Repositories with Recommendation Powered by Social Tag Mining
Author :
Wen-Chung Shih
Author_Institution :
Dept. of Appl. Inf. & Multimedia, Asia Univ., Taichung, Taiwan
fYear :
2014
fDate :
6-9 May 2014
Firstpage :
1
Lastpage :
3
Abstract :
Existing remedial instruction focuses on teacher-oriented or self-learning approaches. However, we think that the tutor-based approach with the support of educational repositories can provide students with an opportunity to correct their misconceptions. In this paper, the architecture is proposed to help users find suitable educational apps in repositories for the purpose of Math tutoring. The proposed recommender subsystem is combined with a social tagging mining approach. Evaluation results indicate that despite the need for further improvement, the tutoring method with the educational repositories is promising for remedial instruction.
Keywords :
data mining; intelligent tutoring systems; recommender systems; EAR; educational app resources; educational application repositories; educational repositories; educational resource recommendation; math tutoring; recommender subsystem; remedial instruction; self-learning approach; social tag mining; tutor-based approach; Data mining; Educational institutions; Learning systems; Mathematics; Recommender systems; Tagging; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
Type :
conf
DOI :
10.1109/ICISA.2014.6847328
Filename :
6847328
Link To Document :
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