The study of collaborative learning grouping strategy in Intelligent Tutoring System

Due to innovative computer technologies of Internet, hypermedia and virtual reality, Intelligent Tutoring System not only can support tutoring for a single learner, but also can manage groups of learners to interact for collaborative learning environment. As collaborative learning becomes more and more popular, the grouping according to learners are also become an important topic. The paper analyzes the characteristic of collaborative learning in Intelligent Tutoring System, and researches grouping strategy in the collaborative learning environment to provide learners to discuss with peers, present and defend ideas, exchange diverse beliefs, and be actively engaged in the learning process. A collaborative learning grouping strategy was proposed to enhance the students´ learning efficiency by the combination of genetic algorithm with k-means clustering. According to the experimental analysis, it can be concluded that the proposed grouping strategy can efficiently improve the learning achievement.