Análisis de la acreditación de calidad en programas de ingeniería industrial y los resultados en las pruebas nacionales estandarizadas, en Colombia

Abstract

This article presents a relational analysis between university quality accreditation in industrial engineering programs and the result in standardized tests of higher education in Colombia, employing machine learning techniques. First, a literature review was developed concerning quality accreditations, organizational performance evaluation and machine learning techniques. Then, a principal component analysis was developed to identify grouping factors among the universities studied. Third, supervised learning models were evaluated, to predict the accreditation of an institution based on the results of standardized exams. The results show how the written communication component is a critical variable to determine the classification of universities as accredited. In conclusion, the empirical evidence shows the existence of a relationship between having quality accreditation and having a good performance in the results of standardized tests.