Tuesday, March 22
4:35-4:55 PM
EDT
Sloane

Detection of Collaboration Relations in a Group Learning Situation Using Wireless Accelerometer Sensor

Brief Paper ID: 48875
  1. Takahiro Tagawa
    Kyushu University
  2. aaa
    Yoichi Tanaka
    Jin-ai Women College
  3. Osamu Yamakawa
    Fukui Prefectural University

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.

No presider for this session.

Topic

Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.
x