Log Data Indicators for Identifying Learner Engagement in MOOCs

Abstract

Engagement during learning is crucial as the instructor and even management can see how well and understood is learner about the topic or course they are up to. As Engagement happens in Massive Open Online Courses (MOOCs), a lot of research papers discuss it and it is more interesting as the pandemic happens and most students must adapt to online learning. Log data in MOOCs have recorded engagement indicators and it is called log data indicators. However, it comes to the question of what is considered engagement in MOOCs as engagement has three parts which are affective, cognitive, and behavioral. A Systematic Literature Review (SLR) was used in this study to find out what engagement indicators for MOOCs can be captured. The result showed for this study is the indicators that can be used to analyze to explore student engagement which include the description of the indicators accordingly. From an online education perspective and improvement of the MOOCs platform, The engagement indicators are really necessary as it is part of learning. Able to identify the engagement and view the level of engagement for every participant in the course. The exploration of the engagement itself makes the instructor well knowledge of what to improve in their courses materials.