Psychological evaluation of university students: A data mining point of view

Hugo Alatrista-Salas; Juan Lazo-Lazo; Miguel Nunez-Del-Prado; Fiorella Otiniano-Campos; Jorge Perez-Reyes-De-La-Flor

doi:10.1109/EDUNINE.2019.8875829

Psychological evaluation of university students: A data mining point of view

Hugo Alatrista-Salas, Juan Lazo-Lazo, Miguel Nunez-Del-Prado, Fiorella Otiniano-Campos, Jorge Perez-Reyes-De-La-Flor

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Students starting university have different characteristics, which can impact their performance in the classroom. In this study, 743 freshmen were surveyed. The collected variables are grouped into five categories: demographic data, learning approach, personality, emotional intelligence, and perceived social support. These characteristics provide a profile of the student that will impact their behavior and academic performance during their university life. Based on these data, we have applied data mining techniques in order to build patterns of behavior that represent correlations between the characteristics of the students. Our results highlight the importance of using pattern mining techniques on data associated with the psychological evaluation of new university students.

Idioma original	Inglés
Título de la publicación alojada	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
Subtítulo de la publicación alojada	Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Editores	Claudio da Rocha Brito, Melany M. Ciampi
Lugar de publicación	New York
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	978-1-7281-1666-2
DOI	https://doi.org/10.1109/EDUNINE.2019.8875829
Estado	Publicada - 1 mar. 2019
Evento	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings - Duración: 1 mar. 2019 → …

Conferencia

Conferencia	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Período	1/03/19 → …

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Palabras clave

data mining
emotional intelligence
psychological evaluation
social support

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/EDUNINE.2019.8875829

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Alatrista-Salas, H., Lazo-Lazo, J., Nunez-Del-Prado, M., Otiniano-Campos, F., & Perez-Reyes-De-La-Flor, J. (2019). Psychological evaluation of university students: A data mining point of view. En C. da Rocha Brito, & M. M. Ciampi (Eds.), EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings Artículo 8875829 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EDUNINE.2019.8875829

Alatrista-Salas, Hugo ; Lazo-Lazo, Juan ; Nunez-Del-Prado, Miguel et al. / Psychological evaluation of university students : A data mining point of view. EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. editor / Claudio da Rocha Brito ; Melany M. Ciampi. New York : Institute of Electrical and Electronics Engineers Inc., 2019.

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abstract = "Students starting university have different characteristics, which can impact their performance in the classroom. In this study, 743 freshmen were surveyed. The collected variables are grouped into five categories: demographic data, learning approach, personality, emotional intelligence, and perceived social support. These characteristics provide a profile of the student that will impact their behavior and academic performance during their university life. Based on these data, we have applied data mining techniques in order to build patterns of behavior that represent correlations between the characteristics of the students. Our results highlight the importance of using pattern mining techniques on data associated with the psychological evaluation of new university students.",

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Alatrista-Salas, H, Lazo-Lazo, J, Nunez-Del-Prado, M, Otiniano-Campos, F & Perez-Reyes-De-La-Flor, J 2019, Psychological evaluation of university students: A data mining point of view. En C da Rocha Brito & MM Ciampi (eds.), EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings., 8875829, Institute of Electrical and Electronics Engineers Inc., New York, EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings, 1/03/19. https://doi.org/10.1109/EDUNINE.2019.8875829

Psychological evaluation of university students: A data mining point of view. / Alatrista-Salas, Hugo; Lazo-Lazo, Juan; Nunez-Del-Prado, Miguel et al.
EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. ed. / Claudio da Rocha Brito; Melany M. Ciampi. New York: Institute of Electrical and Electronics Engineers Inc., 2019. 8875829.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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Alatrista-Salas H, Lazo-Lazo J, Nunez-Del-Prado M, Otiniano-Campos F, Perez-Reyes-De-La-Flor J. Psychological evaluation of university students: A data mining point of view. En da Rocha Brito C, Ciampi MM, editores, EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. New York: Institute of Electrical and Electronics Engineers Inc. 2019. 8875829 doi: 10.1109/EDUNINE.2019.8875829

Psychological evaluation of university students: A data mining point of view

Resumen

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ODS de las Naciones Unidas

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