Optimization of Online Teaching through Data Analytics and Direct Participant Observation

Various studies have been conducted to improve online teaching. Some studies have investigated the factors that determine the effectiveness of online teaching such as the presence of the teacher in the video, the pose of the teacher when teaching, and the length of the video. This paper discusses the analysis of post-class conduct video analytics data like the number of loads and plays and the feedback gathered from the students. From the analysis of over 100 lecture videos, it identifies the prominent factors that determine the effectiveness of online teaching videos. This study concludes that there is a continued decline in the unique views on succeeding videos for pure online mode but that is not observed for the hybrid mode. Also, there is an observed sustained motivation for students to watch and rewatch videos that are of the tutorial type compared to the pure lecture type.