Developing Personalized Nudges to Improve Quality of Comments in Active Video Watching

Abstract

AVW-Space is an online video-based learning platform which aims to improve engagement by providing a note-taking environment and personalized support. This paper presents a PhD project focusing on the nudges about the quality of comments learners make on the videos in AVW-Space. We first automated the quality assessment of comments using machine learning approaches. Based on the predicted quality of the comments and the learners’ profiles, we developed nudges which encourage students to write better comments. Finally, we conducted a study in a first-year engineering course to analyze the learning effects of these nudges. This PhD research contributes to the development of personalized educational support for engagement in video-based learning via fostering better comment writing behavior.