A Framework to avoid Scholar Desertion using Artificial Intelligence

Scholar desertion is one of the main problems in the context of the IES (Superior Educative Institutions) in Mexico. Currently, some trends look for aiming with proper solutions providing a balance using Information Technology. In fact, nowadays there are sophisticated computer sciences capable of identifying and prevent the academic desertion by means of using predictive algorithms which allow being aware about the requirements and needs of the students. In this sense, the present paper proposes a new methodology to reduce the students desertion using the advantages of the data mining theory jointly with advanced artificial intelligence techniques such that, fuzzy logic. Such methodology aims to detect in a suitable moment, when a student tends to leave their studies. The design and some relative works are detailed in order to emphasize the relevance of this promising research area. To the end, some conclusions and a discussion is presented to propose news paths for the implementation of the proposed methodology and future work.