Mining Collective Knowledge for Reconstructing Learning Resource

Abstract

There currently exist a lot of Web resources, which are useful for learning. However, it is hard for learners to learn the Web resources since the hyperspace is not always well-structured. Our approach to this issue is to mine collective knowledge from a group of learners who learned the Web resources to reconstruct the hyperspace including useful pages and links to be learned. This paper proposes a collective knowledge mining method that can extract these pages and links from learning histories gathered from the group of learners.