Share Paper: A Pairing Method in Collaborative Learning Based on Using a Neural Network and a Genetic Algorithm

  1. Kazuhiro Shinike, Maizuru National College of Technology, Japan
  2. Hitoshi Iima, Kyoto Institute of Technology, Japan
Thursday, October 20 10:00-10:20 AM Kohala

Abstract: In collaborative learning it is very important how to determine the optimal combination of students for each pair in order to improve the learning effect. In this paper we propose a pairing method to improve the learning effect of the collaborative learning. A neural network model is first constructed for predicting learning results of pairs in the collaborative learning. Then, in order to determine the optimal pairs of students, a genetic algorithm is applied with the prediction results obtained from the neural network. Based on this combination of students, we actually carry out an experiment of collaborative learning. It is ...