Dropout in Computer Science, Systems Engineering and Software Engineering Programs

Author:

Bayona-Oré Sussy

Publisher

Springer Nature Switzerland

Reference34 articles.

1. Flores, V., Heras, S., Julian, V.: Comparison of predictive models with balanced classes using the SMOTE method for the forecast of student dropout in higher education. Electronics 11(3), 1–16 (2022)

2. Jacobo-Galicia, G., Máynez, A., Cavazos-Arroyo, J.: Fear of COVID, exhaustion and cynicism: its effect on the intention to drop out of college. Eur. J. Educ. Psychol. 14(1), 1–18 (2021)

3. Himmel, E.: Modelo de análisis de la deserción estudiantil en la educación superior. Revista Calidad de la Educación 17, 91–108 (2002)

4. Sandoval-Palis, I., Naranjo, D., Vidal, Gilar-Corbi, R.: Early dropout prediction model: a case study of university leveling course students. Sustainability 12(22), 1–17 (2020)

5. Febro, J.: Utilizing feature selection in identifying predicting factors of student retention. Int. J. Adv. Comput. Sci. Appl. 10(9), 269–274 (2019)

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