This article presents the strategic learning meta-model (SLM). We describe the architecture of the SLM, which consists of three layers: reactive layer, intelligent layer and infrastructure layer. The purpose of this paper is to present the reactive layer of the SLM and in particular the model that constitutes: the regulation model. This model was tested with a series of cases which indicate an increase in student performance in a particular course. Furthermore briefly presents the design of intelligent layer of SLM, which consists of a set of ontologies, this paper only presents the design and implementation of 3 of the ontologies that comprise the ontology model. Finally, the strategic learning meta-model proposed integrates the principles of mediator evaluation, customizing of learning route, monitoring and personalized attention, work in learning communities with the aim of providing better learning opportunities, optimizing the physical and human resources an institution, with the aim of reducing desertion rates.