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논문 기본 정보

자료유형
학술대회자료
저자정보
Kazuhiro Shin-ike (Maizuru National College of Technology) Hitoshi Iima (Kyoto Institue of Technology)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS-SICE 2009
발행연도
2009.8
수록면
4,937 - 4,942 (6page)

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초록· 키워드

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In school education there are many kinds of learning styles and it is known that group learning (collaborative learning) is more effective than individual learning. In collaborative learning it is very important how to determine the optimal combination of students, in order to improve the learning effect. In this paper we propose a method to improve the learning effect of collaborative learning. A neural network model is first applied for predieting learning results of parts of students, in collaborrative learning. Then, in order to determine the optimal parts of students, a genetic algorithm is applied with the prediction results obtained from the neural network. Based on this combination of students, we carried out an experiment of collaborative learning at a college in Japen. It was confirmed from the experimental results, that the proposed method was effective.

목차

Abstract
1. INTRODUCTION
2. PREDICTION MODEL
3. METHOD FOR DETERMINING THE OPTIMAL COMBINATION OF STUDENTS
4. APPLICATION OF THE PROPOSED METHOD
5. CONCLUSION
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