Towards Personal infrastructure to manage long term open learner models
Nowadays, the lifelong learning is a key issue in our life. Learners have their personal learning data scattered on different platforms and websites without any control on them and without any defined access duration. In this paper, we propose to explore the feasibility of Personal information manager systems in the Open Learner Model context that allows the control of personal learning data by learners themselves, the persistence, and the privacy. We propose to focus on a relevant technical infrastructure giving full personal control to users in order to manage Open Learner Models in lifelong and life wide perspectives. This work is dedicated for all lifelong learners without any specific IT competency to manage their own personal learning data in a lifelong perspective.
UMAP