This PhD thesis in computer science belongs to the computer supported learning field. Various information on the learner, or on a group of learner, related to the learning – knowledge, skills, conceptions or behavior – are collected to compose a profile. Existing profiles differ in their intent, content or structure. Moreover, various learning actors are involved and concerned by these profiles. As of today, there is no technical solution in place for reusing these heterogeneous profiles. This PhD thesis aims at providing models and tools allowing the various actors to reuse learners' profiles created by others. In this work, we propose the REPro model (Reuse of External Profiles) to represent the profiles management process. To allow reuse of external profiles, we rewrite them according to a common formalism through a profile modeling language, the PMDL language (Profiles MoDeling Language). We also introduce some transformation operators on the harmonised profiles or their structure, such as the addition of elements to a profile or the creation of a group profile from individual profiles. This approach has been implemented in the EPROFILEA environment (PERLEA project) and experimented in laboratory with teachers.

The project will rely on previous R&D activities and implement the following activities: Implement three school pilots involving a total of 60 schools in Germany, Austria, Italy, Spain and Lithuania.Define the protocol of experimentation and organise the training of the pilot schools via training of trainers’ session.Launch and monitor the experimentation activity for a period of 10 months with...