A method for Development of collaborative learning by using a neural network and a genetic algorithm

Abstract

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 colllaborative learning it is very important how to deternime 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 resning. A neural network model is fiest applied for predicting learning result of pairs of students in collaborative learning. Then, in order to determine the opptimal pairs of students, a genetic algorithm is applied with the prediction result obtanined from the neural network. Based on this combination of students,we carried out an experiment of collaborative learning at a college in Japan. It was confirmed from the experimental results that the proposed method was effective.