부산대학교 도서관

Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners. This paper comprehensively considers and uses the learning characteristics to evaluate the matching degree between learners and commmunities, and presents a new dynamic constructing strategy, then give its corresponding adjusting algorithm for virtual learning community. It is easy and more accurate to identify whether a certain community suits the learner, and it can help a learner to find a suitable community to further improve his learning performance and experience. Case study and analysis shows the feasibility and practicability of our proposed constructing strategy.