Effects of Recommendation Accuracy by Collaborative Filtering in Web-Based English Learning System Using English Electronic News Articles

Abstract

This research aims to evaluate web-based English learning system with collaborative filtering, and suggest the possible application of collaborative filtering to learning system. We developed web-based learning system applied collaborative filtering, which distributes English electronic news that learners may have high interest, and evaluated the difference of perceived English learning skills, costs, and vocabulary level, comparing before and after using the system. The effect of recommendation accuracy on three viewpoints was also investigated. Results revealed that perceived English skills and vocabulary level were significantly improved, and learners, who perceived that the system recommended high-interest news, improved to understand English learning skills, after using the system.