Advances in Video Analytics

Abstract Learners interact with content, assessments, peers, and instructors in digital learning environments. Videos, which are popular due to internet technologies, capture learners’ attention, boost motivation, and enhance learning. Learning analytics broadly optimize educational environments by analyzing data, with video analytics focusing specifically on video interactions to enhance learning outcomes. Video-player interactions (e.g., play, pause) and video content interactions (e.g., true-false questions) provide insights into learner behaviors. Lack of interaction is a major reason for high dropout rates in video platforms and MOOCs. Video analytics can help address this issue by analyzing and improving engagement with video content. This special issue has a specific focus on video analytics and impact of this field to the learning experience. Four articles were included in this special issue. The findings reveal that I) the type, length, and purpose of the video are important for student engagement, ii) important tips on video-based learning design are presented, iii) when interacting with the video player, pause, play, rewind and fast forward are the most commonly used interaction types., iv) providing more information about video interaction processes with dashboards would provide much more insight, and v) dividing the videos into more than one section both creates the perception of better structuring of the process and the segmentation of the videos contributes more to learning.