Development of Self-Learning Support System Using Arousal Level and Lecture Information

One of today’s hot topics in an educational field is the development of efficient learning support systems. With the progress of networks and multimedia technologies, various types of web-based training (WBT) systems have been developed for distanceand self-learning. Most of the current learning support systems synchronously reproduce contents in lecture resources such as videos, slides, and digital-ink notes written by teachers. This paper describes a more efficient learning support system that provides not only multimedia data in lecture resources but also various functionalities matched to student learning level by introducing lecture information (i.e. questions/answers) and student arousal levels extracted from biological data. We also investigate the effectiveness of the proposed system through an experimental evaluation.