A Process to Detect Exploitation and Exploration Student's Behaviors in Higher Vocational Education

the article presents a process for collecting at runtime and then classifying a rich set of students’ tracks. Considering the learning situation and the facets of interest from which we want to classify the students’ behaviors, we detail the objectives and the different steps of such a process. This data collected in the framework of vocational Education at the University level enabled us to conduct some supervised classifications that we are using in our works towards a Recommender System fitted to the students’ needs.