A Distance Learning System for Delivering Appropriate Studying Materials and Stimulating Learner Volition

In this paper, we propose an agent-based personalized distance learning system for delivering appropriate studying materials to learners by judging learners’ degree of understanding.The main elements of our proposed system are the agents, which play the role of teacher. Based on the learning history they analyze the understanding degree of learners. To evaluate the proposed distance learning system, we carried out three experiments and a questionnaire investigation. The evaluation results show that by making groupings of learners, the agents can decide what kind of materials should be given to learners. Furthermore, we improved the system by adding new features such as mental action of color and the competition with other learners. The evaluation results show that an improved system can increase learning efficiency.