JUCS - Journal of Universal Computer Science 25(10): 1301-1322, doi: 10.3217/jucs-025-10-1301
Decision-making Model at Higher Educational Institutions based on Machine Learning
expand article infoYuri Vanessa Nieto, Vicente García-Díaz, Carlos Enrique Montenegro§
‡ University of Oviedo, Oviedo, Spain§ District University Francisco José de Caldas, Bogotá, Colombia
Open Access
At Higher Educational Institutions (HEI) the high hierarchical managers and directors face many challenges during the decision-making process, that sometimes are rely on intuition, and past experiences, leading not just to delays but the low impact in the whole academic community. A decision-making model for managers and administrator of HEIs is presented. We propose a detailed methodology when academic prognosis is taking place. The comparison between five robust Machine Learning algorithms is executed accomplishing outperformed results by Support Vector Machine. As a validation experiment, we executed the proposed decision model in a face-to-face public university in Colombia, showing the results in a developed web platform prototype with its correspondent architecture. Moreover, we discuss the social implication of low graduation rates.
decision support system, decision-making, machine learning, support vector machine, classification algorithms