Using graph edit distance to diagnose student's science process skill in physics

Authors:
Ming-Xiang Fan;Maiga Chang;Rita Kuo;Jia-Sheng Heh
Affiliations:
Dept. of Information and Computer Engineering, Chung-Yuan Christian Univ., Taiwan;School of Computing and Information Systems, Athabasca University, Canada;Dept. of Digital Design, Mingdao Univ., Taiwan;Dept. of Information and Computer Engineering, Chung-Yuan Christian Univ., Taiwan
Venue:
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Year:
2010

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Abstract

Science process skill is important to students when they are learning sciences. We have built a story-based virtual experiment environment in Physics to train student's science process skills. However, the teacher currently doesn't know how the students' science process skills are while they are using the virtual experiment environment. For this reason, this research tries to apply the graph edit distances to design the graph-based diagnosis methodology and uses the methodology to compare the student's science process skill graph and the expected graph in order to give both the teacher and the student feedback regarding the student's science process skills. This research also proposes the experiment design and plans to do the experiment in the end of this May (May, 2010) to prove the effectiveness of the proposed graph-based diagnosis methodology in analyzing students' science process skills in Physics.