摘要 : The rapid growth of Information technology enables us to realize not only classical learning environment, i.e., classroom lecture and individual learning environment, but also exploratory learning environment in which learners are... 展开 The rapid growth of Information technology enables us to realize not only classical learning environment, i.e., classroom lecture and individual learning environment, but also exploratory learning environment in which learners are required their positive learning activity and collaborative learning environment. In these new learning environments, the hyper structured learning contents are quite general, and its information on hyper structure are important for evaluation of learning activities and contents/curriculum. In this study, we propose the digest generation method of learning activities based on learning log data sets, in which learning object meta-data and information on hyper structure are used effectively. Particularly this proposed method is formalized as a multi-objective optimization problem, so we apply the Genetic Algorithm to solve this. In this paper, we describe proposed method from theoretical point of view and features of "The Digest Generation System" and through some experiments we show validity and effectiveness of proposed method. 收起