Adaptation of Shared Traces in e-learning Environment

In the context of e-learning, this work focuses on sharing experiences between users (learners, tutors or designers). This article focuses particularly on the transformation process to adapt the shared traces according to the profile of their target users. The trace is defined as history of user actions collected in real time from his/her interactions with the computer environment. Thus, we propose models for representing trace, user profile and adaptation knowledge. In order to bring flexibility and adaptability to our approach, we propose a model of knowledge extraction from a Trace-Based Management System (TBMS) representing the activity traces of several users.