An Interactive Video-based Learning Environment that Supports Learning Analytics for Teaching 'Image Editing'

Abstract

The use of online videos is a common practice amongst education professionals and the interactive features found in these videos are constantly evolving. In a previous research paper we presented a roadmap on how open source technologies and open internet resources can be used to build a video based learning environment that supports learning analytics. This paper describes how an environment for teaching image editing techniques is build using similar principles. The video based environment is used in educational settings and a dataset of learner activity behaviors is obtained. Cluster analysis is then used for identifying groups of students with similar viewing and activity behaviors and an attempt is made to interpret the results.