How do students use lecture recordings?


At the University of Münster, we evaluated the lecture recording service over three semesters. This lightning talk will present the results of the evaluation as well as the results of a cluster analysis based on the students’ self-reports about how they used the lecture recordings. The cluster analysis was done using partitioning around medoids with Gower distance. Five clusters of students were identified. These clusters mainly differ in the amount of lecture recordings watched and the amount of lectures the students missed. The results will discussed in terms of future research on learning strategies involving lecture recordings.

Zurich, Switzerland
Daniel Ebbert
Research Associate

Daniel Ebbert is currently working as a doctoral student at the University of Münster while also managing the lecture recordings for the university. His interests include lecture recordings, eLearing and learning analytics. He signed the Cost of Knowledge as well as the Commitment to Research Transparency and Open Science.