Educational evaluation and prediction of school performance through data mining and genetic algorithms

The educational evaluation requires of analysis and continue strategies to adapted the current context, so that this research presents the need to define models of educational evaluation with adaptive characteristics to the area of knowledge and the students to predict behaviors of academic performance and support the decision making in the educational context. This need is based on the theoretical framework and with the integration of state of the art to outline and define alternative solutions based in Intelligent Computing.