Hybrid intelligent system topredict the individual academic performance of engineering students

The present research deals with the problem of the low academic performance in engineering degrees. It has been done byanalyzing the academic results of students that have attended to the bachelor’s degree in industrial engineering. The datasetused was the official registered grades of their academic records in the University of A Corun a. In this work, severaladvanced regression techniques have been applied to create models of the academic itinerary during each student career.The created models can predict the number of attempts in every subject that the students would take in the first academicyear. The attempts of the subjects from the rest of the years can be predicted by incorporating to the model the results of thealready passed subjects. The developed model allows to achieve the proposed goal of predicting the academic performanceof each student.