Success in training is an opportunity that must be offered to each student. However, many universities are experiencing high rates of failure and dropout, especially during the first year of higher studies. We believe that creating a process based on personalization of teaching can contribute to the decrease of failure rate during undergraduate studies. To achieve this goal, we are specifically interested in online learning supported by a Learning Management System (LMS). We have integrated, in a previous works, new tools using traces of learners’ activities during collaborative works on an LMS. We therefore propose a system based on intelligent agents. We are designing smart dashboards, automating detection of specific learners' difficulties in order to offer alternatives or solutions to their problems.