Adaptive learning is learning that tries to get closer to the learner in order to identify his/her strengths and weaknesses and to provide him/her with a learning that best adapts to his/her needs, thereby increasing his/her chances of success. It is in this spirit that this work was carried out. It is interested in adaptation of learning when using a Learning Management System (LMS). To achieve our goal, we designed different models such as the Learner Model and a multi-agents system, ADOPT, which defines intelligent interactive agents. These agents analyze the traces left by the learner, calculate various indicators and propose the most suitable adaptations for the learner.