Providing personalized course video viewing experiences through student and instructor viewing analysis

Though students spend much time watching videos in flipped, distance, and other flexible learning environments, their focus and choices are not preserved for future reference. We propose to actively adapt the presentation of video using personal viewing histories (similar to a web history), thus creating interactive, personalized learning materials based on each student’s past actions. Our proposed tool, MyView, keeps records of which parts of the video each user watched and the order in which they rewatched, and uses this information to provide analytics for instructors (to identify problems or popular clips) and enhanced summative viewing for students, such as identifying frequently viewed clips, simple search for previously-viewed clips, easy playlist construction for personalized course content and saving important clips for easy access. This supports greater communication among students, simpler material collation for personal revision, identification of comprehension issues on individual and group bases and closer communication with the instructor.