Improving Social Navigation Support Using Time Spent Reading

KnowledgeSea is a mixed corpus C programming resource that tries to bridge the gap between open (unlimited resources) and closed corpus (limited resources). Closed corpus materials are in the form of lecture notes that are well designed for the purpose of the course. Open-corpus materials are the set of the links to online resources for C programming. KnowledgeSea is designed to help users navigate from lectures to relevant online tutorials in a map-based horizontal navigation format. The map is self-organized using neural network techniques to cluster similar documents together [2]. Every cell of the KnowledgeSea map includes links to online material that are related to keyword presented on the cell. The adjacent cells present similar material. To facilitate the student navigation, KnowledgeSea provides traffic and annotation based social navigation support. In the new phase of the project as a work for my independent study during Fall 2004, I have been looking into improving traffic based navigation support by taking into account time spent reading each tutorial page by each students.