With the emergence of IT technologies, educational institutions have diversified their logistics in order to improve students’ performance and learning quality. They invest in the implementation of learning management systems offering personalization to learners. Such personalization depends most of the time on institutions constraints. Considering this limit, the personal learning environments (PLE) represent an interesting solution for learners to develop their own learning environment. This concept fits perfectly with the lifelong learning context, which is one of the recommendations of the sustainable development goals (SDGs). However, such an environment is not necessary based on pedagogical foundations, then, we are faced with uncomfortable situations: learning not aligned with prerequisites, training layout not aligned with content and learner expectations. We developed an approach to build a PLE allowing learner to define his/her learning objectives, to build an appropriate curriculum and to follow his/her. However, the approach implementation in real context is very complex, so its generalization is essential. To overcome this, we provide an updated version of our approach using Machine-Learning algorithms and Generative AI.
