Assessing Attendance by Peer Information
This work addresses the problem of heterogeneous attendance data for educators and administrators in blended learning settings, though it is incremental in nature.
The paper tackles the challenge of comparing student attendance rates in blended learning environments by proposing the Relative Attendance Index (RAI), which uses peer information to measure attendance more effectively, with experimental results showing it better reflects student engagement.
Attendance rate is an important indicator of students' study motivation, behavior and Psychological status; However, the heterogeneous nature of student attendance rates due to the course registration difference or the online/offline difference in a blended learning environment makes it challenging to compare attendance rates. In this paper, we propose a novel method called Relative Attendance Index (RAI) to measure attendance rates, which reflects students' efforts on attending courses. While traditional attendance focuses on the record of a single person or course, relative attendance emphasizes peer attendance information of relevant individuals or courses, making the comparisons of attendance more justified. Experimental results on real-life data show that RAI can indeed better reflect student engagement.