On Using Learning Analytics to Track the Activity of Interactive MOOC Videos

It is widely known that interaction, as well as communication,
are very important parts of successful online courses. These features are
considered crucial because they help to improve students’ attention in a
very significant way. In this publication, the authors present an innovative
application, which adds different forms of interactivity to learning
videos within MOOCs such as multiple-choice questions or the possibility
to communicate with the teacher. Furthermore, Learning Analytics
using exploratory examination and visualizations have been applied to
unveil learners’ patterns and behaviors as well as investigate the effectiveness
of the application. Based upon the quantitative and qualitative
observations, our study determined common practices behind dropping
out using videos indicator and suggested enhancements to increase the
performance of the application as well as learners’ attention