Model for predicting academic performance through artificial intelligence

Silva J.; Romero L.; Solano D.; Fernandez C.; Lezama O.B.P.; Rojas K. · Advances in Intelligent Systems and Computing (2021) · DOI: 10.1007/978-981-15-6876-3_41

Resumen

During the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning theory, the probability of success of his studies is a multifactorial problem, with learning-teaching interaction being a transcendental element (Muñoz-Repiso and Gómez-Pablos in Edutec. Revista Electrónica de Tecnología Educativa 52: a291–a291 (2015), [1]. This research describes a predicative model of academic performance using neural network techniques on a real data set. © Springer Nature Singapore Pte Ltd. 2021.

Instituciones: Universidad Peruana de Ciencias Aplicadas