Descriptive Answer Clustering System for Immediate Feedback

Authors:
Kazutaka Noro;Haruhiko Takase;Hidehiko Kita;Terumine Hayashi;Naoki Morita
Affiliations:
Department of Electrical and Electric Engineering, Mie University, Japan, takase@ce.elec.mie-u.ac.jp;Department of Electrical and Electric Engineering, Mie University, Japan, takase@ce.elec.mie-u.ac.jp;Department of Electrical and Electric Engineering, Mie University, Japan, takase@ce.elec.mie-u.ac.jp;Department of Electrical and Electric Engineering, Mie University, Japan, takase@ce.elec.mie-u.ac.jp;Information Technology Center, Tokai University, Japan
Venue:
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
Year:
2007

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Abstract

In this paper, we discuss a visualization method of answers of a quiz. Though quizzes (especially descriptive answer style) are effective to identify the level of students' understanding, it is hard for lecturers to catch contents of all answers for effective and immediate feedback. We propose a visualization method based on self-organizing map and k-means method and develop a system that classifies answers and allows lecturers to adjust the results for preferable ones quickly.