User behaviour analysis on LMS and MOOC

Abstract

This paper presents results of a subjective experiment of user behaviour analysis on state-of-the-art learning management systems (LMS) and massive open online courses (MOOCs). The purpose of this study is to conduct a usability analysis on different eLearning platforms by observing subjects facial expressions, and based on the generated results to speculate which of the platforms are easy to use and work with for a new user. An experiment is designed for this purpose with different tasks that each subject has to perform, while they are being recorded. The facial recordings are analysed to find seven emotional engagement attributes and three sentiment engagement attributes using facial expression software. The results of our work show some very interesting findings. Additionally we have also proposed some recommendations based on an extensive comparison of features among different LMS that will provide better content personalization and customization, thereby improving learning outcome.