This document proposes an intelligent e-assessment model aimed at addressing school failure through personalized evaluation activities, leveraging an ontological framework. The model consists of three ontologies that represent domain knowledge, cognitive styles, and assessment activities, accompanied by inference rules for recommending tailored activities. The research is based on fieldwork with engineering students from the Universidad Autónoma Metropolitana in Mexico.