Abstract

It is well known that members of a work group need awareness about other members, common elements and group process, and this becomes crucial in computer supported knowledge building systems. This work aims to help in evaluating use and results of a web-based collaborative knowledge building environment's awareness services, using web usage mining techniques, particularly clustering over session logs. Results show that different types of sessions, related with their duration and awareness service usage level, can be identified. These results complemented with survey answers from users show interesting findings about utility and satisfaction levels assigned to different awareness services provided.