Data mining on predicting student dropout at Universidad Nacional Abierta Y A Distancia
This document aims to disseminate a research proposal within the framework of the master's degree in IT management at Universidad Nacional Abierta y a Distancia. The document presents an approach expressing the opportunity to apply data analytics techniques to student information that is collected from UNAD's academic processes. Which, are able to analyze using data mining techniques to generate a model of predicting student dropout in order to contribute to the adoption of strategies to implement mitigation measures to reduce this phenomenon that affects not only UNAD but all educational institutions in the country and the world. Analyzing large amounts of information using Data Mining has enabled the refinement of strategies and campaigns in fields such as business intelligence; in the field of education the application of Data Mining techniques through the analysis of large volumes of data, provide support for decision-making, allowing managers of institutions to concentrate efforts or direct them to certain specific ambits or areas, greatly improving process effectiveness by allowing them to approach knowledge more effectively and efficiently
