Usage analytics in A-VIEW

Abstract

The objective of this work is to perform usage analytics in Amrita-Virtual Interactive E-learning World (A-VIEW) using the technique of association rule mining. Apriori algorithm is used in this work for analyzing the usage of A-VIEW features with users' voting pattern. A-VIEW synthetic data, which has the features like document sharing and video with their user ratings, is applied to evaluate the methodology. The experimental results, user rating count 23 for {document sharing, Good} and 28 for {video, Excellent} indicate that document sharing needs improvement in its usability while working with A-VIEW. It is also observed that the feature video streaming has got an excellent user rating, 23 of the total count.