A Framework of Educational App Repositories with Recommendation Powered by Social Tag Mining

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.