de la Fuente-Mella, H.; Guzmán Gutiérrez, C.; Crawford, K.; Foschino, G.; Crawford, B.; Soto, R.; León de la Barra, C.; Cisternas Caneo, F.; Monfroy, E.; Becerra-Rozas, M.;
et al. Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques. Appl. Sci. 2020, 10, 7114.
https://doi.org/10.3390/app10207114
AMA Style
de la Fuente-Mella H, Guzmán Gutiérrez C, Crawford K, Foschino G, Crawford B, Soto R, León de la Barra C, Cisternas Caneo F, Monfroy E, Becerra-Rozas M,
et al. Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques. Applied Sciences. 2020; 10(20):7114.
https://doi.org/10.3390/app10207114
Chicago/Turabian Style
de la Fuente-Mella, Hanns, Claudia Guzmán Gutiérrez, Kathleen Crawford, Giancarla Foschino, Broderick Crawford, Ricardo Soto, Claudio León de la Barra, Felipe Cisternas Caneo, Eric Monfroy, Marcelo Becerra-Rozas,
and et al. 2020. "Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques" Applied Sciences 10, no. 20: 7114.
https://doi.org/10.3390/app10207114
APA Style
de la Fuente-Mella, H., Guzmán Gutiérrez, C., Crawford, K., Foschino, G., Crawford, B., Soto, R., León de la Barra, C., Cisternas Caneo, F., Monfroy, E., Becerra-Rozas, M., & Elórtegui-Gómez, C.
(2020). Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques. Applied Sciences, 10(20), 7114.
https://doi.org/10.3390/app10207114
