An e-Learning Recommendation System using Association Rule Mining Technique

The fast growth of e-learning around the world is inspiring many educational and business institutions to adopt the adaptive personalized method of teaching and learning. However the success of E-learning does not depend only on the academic setup but also on proper realization of its vital requisites. This paper presents an idea for building recommendation system for the e-learning system using Association Rule Mining Techniques for the best selection of e-learning resources or learning materials. This paper analyzes students' log of a Learning Management System (LMS) Moodle, and data gathered from a survey dataset addressing students academic, interaction and personal information. Data mining and statistical tools have been used to find relationships between students' LMS access behavior, study habits and overall performances.

Provided by: EuroJournals Topic: Big Data Date Added: Nov 2011 Format: PDF

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