earticle

영어

To date, most e-learning systems have not reflected emotion of users effectively as against off-line learning (system) that has sufficiently considered it. They might cause several prob-lems hindering e-learning from effectiveness. Overcoming this weakness, we introduce a methodology that measures user’s brain wave and recommends learning content to user based on it. In this paper, we assume that a person would have similar tendency with some-one whose brain wave patterns are like his, and use it for recommendation of learning con-tent type. As a technique for our experiment, we use kNN-Recommendation, learning content type recommendation system, based on brain wave data that appears in studying. Our system can solve cold-start problem that occurs in typical recommendation system and we addition-ally propose harmony value for better accuracy of recommendation that is calculated with recommended values from preceding our profile based recommendation system. We check advanced performance using several experiments.