关键词: 协同学习, 合作伙伴, 学习分组, 蚁群算法

Abstract: The effective approach for composing cooperative learning group is very important to facilitate learners’ learning efficiency in cooperative learning environment. Based on the attributes of learning ability, interests and understanding level, this paper proposes an Enhanced Ant Colony Optimization（EACO） algorithm to compose cooperative learning group. The similarity of learners’ attributes is the stimulating information. In order to deal with the premature convergence and stagnation, a judgment-back mechanism is used at the early stage, and the stimulating factor and expectation factor is dynamically adjusted at the later period for the accuracy. The empirical results show that proposed algorithm is better than traditional algorithms in performance and accuracy.

Key words: cooperative learning, cooperative partner, learning group, ant colony optimization algorithm