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.
CITATION STYLE
Silva, J., Romero, L., Solano, D., Fernandez, C., Lezama, O. B. P., & Rojas, K. (2021). Model for predicting academic performance through artificial intelligence. In Advances in Intelligent Systems and Computing (Vol. 1227, pp. 519–525). Springer. https://doi.org/10.1007/978-981-15-6876-3_41
Mendeley helps you to discover research relevant for your work.