A system to analyze and support learners’ spontaneous interactions

There exist numerous learning activities wherein groups aim to build knowledge through problem-solving activities using computers. These activities are called computer supported collaborative learning (CSCL). The CSCL system allows learning analysis based on learners’ motivations and movements. We thus developed a system that records interactive data on learners’ interactions with each other. This system can also visualize the interactive data obtained from the system. We then used the “attention, relevance, confidence, and satisfaction” (ARCS) model to investigate the effectiveness of the developed system. The model confirms that the attention and confidence for teaching after the experiment was higher than that before the experiment. The results thus suggest that learner’s attention and confidence in teaching can be improved by using our developed system.