Detection of Collaboration Relations in a Group Learning Situation Using Wireless Accelerometer Sensor
Abstract: We investigate how we can use some wireless sensor devices to know and analyze states and activities of students in a group learning situation, especially focusing on interaction or collaboration. Here we use the 3D accelerometers to detect and track the activities of students, and introduce some criteria to judge/evaluate whether students are working collaboratively or not, based on their similarity of movement. This method succeeded in detecting collaborative group activities as ties stronger than non-group relations, in actual group work examples. We can represent the relationship between students as the weighted network of collaboration, and we can analyze it by the techniques of social network analysis.