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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
Subtitle of host publication	Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Editors	Claudio da Rocha Brito, Melany M. Ciampi
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-1-7281-1666-2
DOIs	https://doi.org/10.1109/EDUNINE.2019.8875829
State	Published - 1 Mar 2019
Event	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings - Duration: 1 Mar 2019 → …

Conference

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

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Data mining
Emotional intelligence
Psychological evaluation
Social support
social support
psychological evaluation
data mining
emotional intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EDUNINE.2019.8875829

Cite this

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. In 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 Article 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. in 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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. In da Rocha Brito C, Ciampi MM, editors, 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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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