Modeling the Spanish Bachillerato academic underachievement using a random network

Resumen

In this paper, we propose a random network to model the evolution of the academic performance focused on the educational level of Bachillerato in Spain. For that, we will build a random network. Once the random network is stated, it will evolve according to a set of evolution rules and this allows us to simulate the academic behavior of Bachillerato students in order to determine whether they promote or not to the next academic level. Finally, this simulation process will allow us to provide predictions given by 95% of confidence intervals of the Bachillerato academic results over the next few years. Our predictions provide good results since, for each academic subpopulation, the new real data appeared during the development of this study corresponding to the academic year 2009 − 2010 lie inside the confidence intervals.

Publicación
International Journal of Complex Systems in Science
J. Manuel Colmenar
J. Manuel Colmenar
Artificial Intelligence Professor

Mis intereses de investigación se centran en las metaheurísticas aplicadas a problemas de optimización. He trabajado en diferentes problemas de optimización combinatoria aplicando algoritmos trajectoriales como GRASP o VNS. Además, estoy muy interesado en las aplicaciones de la Evolución Gramatical, específicamente en el dominio de los modelos y la predicción, como alternativa a los enfoques de aprendizaje automático.