A concept to analyze user navigation behavior inside a recorded lecture (to identify difficult spots)

This paper provides a brief report of our concept to scan the streaming server's log files in order to identify specific behavior of the users. A distinct form of behavior is the jump-back. Students do it when they watched a scene of a recorded lecture and then watch it again after a short amount of time. So, it can be assumed that this scene is of higher interest because it is either very interesting or hard to understand for the viewer. The knowledge of these found hotspots could be used in order to improve teaching materials such as slides and teaching style. In this paper, we describe how we plan to gather the data, how to analyze it and how the insights can be utilized. It is not only focused on the technological perspective of video-based e-learning but also on the pedagogical view.