RT info:eu-repo/semantics/article
T1 A machine learning model to predict standardized tests in engineering programs in Colombia
A1 Soto-Acevedo, Misorly
A1 Abuchar-Curi, Alfredo M.
A1 Zuluaga-Ortiz, Rohemi A.
A1 Delahoz-Domínguez, Enrique J.
K1 learning Analytics
K1 Machine Learning
K1 Predictive Evaluation
K1 standardized tests
AB This research develops a model to predict theresults of the national standardized test for Engineeringprograms in Colombia. The research made it possible toforecast each student's results and thus make decisions onreinforcement strategies to improve student performance.Therefore, a Learning Analytics approach based on threestages was developed: first, analysis and debugging of thedatabase; second, multivariate analysis; and third, theapplication of machine learning techniques. The results showan association between the performance levels in theHighschool test and the university test results. In addition, themachine learning algorithm that adequately fits the researchproblem is the Generalized Linear Network Model. For thetraining stage, the results of the model in Accuracy, AUC,Sensitivity, and Specificity were 0.810, 0.820, 0.813, and 0.827,respectively; in the evaluation stage, the results of the model inAccuracy, AUC, Sensitivity, and Specificity were 0.820, 0.820,0.827 and 0.813 respectively.
YR 2023
FD 2023
LK http://riull.ull.es/xmlui/handle/915/37150
UL http://riull.ull.es/xmlui/handle/915/37150
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 22-may-2024