Developing Personalised Nudges to Improve the Quality of Comments in Active Video Watching
University of Canterbury
Time & Place
Mon, 07 Sep 2020 15:00:03 NZST in E16 - Engineering Core
All are welcome
Engagement is a crucial challenge in video-based learning due to the lack of direct interaction between the teachers and the students. AVW-Space is an online video-based learning platform, developed at the University of Canterbury, which aims at providing personalised support to improve engagement. This research focuses on designing nudges that encourage students to improve the quality of comments they make on the videos in the note-taking environment of AVW-Space. We first automated the quality assessment of comments using machine learning approaches. Using the predicted quality of the comments and the learners' profiles, we developed nudges which direct the learners to critical thinking and self-reflection. Then, we conducted a study on ENGR101 students to analyse the learning effects of these nudges. Our findings show that the nudges increase the number of students who engage with the system constructively.
I studied BSc of Software Engineering in my home country, Iran. I started my Master's thesis in Computer Science at the University of Canterbury last year and converted to PhD after a few months. I am currently working on my PhD thesis in the Intelligent Tutoring System (ITS) lab. My research interests are learning analytics, user modelling and natural language processing.