One of the most important problems of the Ecuadorian system of public higher education in exact sciences is the low approval rate of applicants, which results in a delay in entering the University, greater fiscal investment in human and technological resources, and wasted access to the university due to subsequent desertion. Recognizing the advantages of the application of an innovative teaching-learning methodology, called Active Learning, compared to the traditional methodology and building a forecast model for academic performance in the admission system can be favorable to reduce this problem. The objective of this work is to determine through a binary logistic regression model if the innovative methodology of Active Learning in the Admission System of a Public University will allow a learning process of higher academic performance at the end of the admission course compared to the a...