An Investigation on Social Relations between University Students from Seat Position Data

Abstract

The main aim of this paper is to investigate the social relationship among students using their seat position data. Together with the lecturer's intuitive recognition, we are able to know more about student's attitude and style to learning, which helps the lecturers to provide the students with more effective lectures. In this paper, we use the distance of seat positions of students as the index for their friendship relation and find student groups. By combining our findings in our previous studies, we are convinced that data analysis is a very useful tool for understanding students' behavior, which will help the lectures to have useful tips for delivering better lectures.