Expanding Learning Analytics in MOOCs to Track Learners' Engagement with Interactive Content

Delivering content in a course on the Massive Open Online Courses (MOOCs) platform is becoming more interactive as technology evolves, especially with the availability of various tools that can be integrated into the platform. However, learners' interactions with interactive content in MOOCs are frequently overlooked and under-analyzed. This is a missed opportunity, as numerous aspects can be investigated to provide insights into the course's growth and success based on the interactive content. To address this issue, a Learning Record Store (LRS) was created as an extension of the existing Learning Analytics in MOOCs. The LRS is designed for instructors and allows them to collect, store, and analyze learner activity data within interactive content. This information can be used to monitor learners' progress, identify areas for improvement, and tailor learning experiences. The design process, concept, and objectives of the LRS system development are presented in this work. The LRS system was evaluated to test its effectiveness in capturing learner activity and providing insights into the use of interactive content. The results showed that the LRS successfully recognized the benefits of using interactive content early on and evaluated the extent to which instructors used different interactive content for different course use cases.