Automation of the psychological care process in university students using machine learning

Jeremy Galindo Arroni; Cristhian Acasiete Tresierra; Daniel Burga Durango

doi:10.1109/ICALTER61411.2023.10372924

Automation of the psychological care process in university students using machine learning

Jeremy Galindo Arroni
, Cristhian Acasiete Tresierra
, Daniel Burga Durango

Facultad de Ingeniería

Universidad Peruana de Ciencias Aplicadas

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

2 Citas (Scopus)

Resumen

With the increase of the university population, the individual psychological care service by psychologists in universities has been affected. Which has caused discomfort among students to access the psychological consulting service. Therefore, this project aims to implement a data analysis system to control the psychological variables that affect university students, improving attention to them through the use of artificial intelligence (AI). We present a system that allows the visualization of data related to the mental health of the students who developed a psychological test, with which the psychologist will be able to diagnose the student's mental state and determine if he or she requires personalized attention. Finally, with this research, we achieved an improvement in the speed of attention and quality of service for the student.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350395471
DOI	https://doi.org/10.1109/ICALTER61411.2023.10372924
Estado	Publicada - 2023
Evento	3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023 - Chiclayo, Perú Duración: 13 dic. 2023 → 15 dic. 2023

Serie de la publicación

Nombre	Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023

Conferencia

Conferencia	3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
País/Territorio	Perú
Ciudad	Chiclayo
Período	13/12/23 → 15/12/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

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10.1109/ICALTER61411.2023.10372924

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Arroni, J. G., Tresierra, C. A., & Durango, D. B. (2023). Automation of the psychological care process in university students using machine learning. En Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023 (Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALTER61411.2023.10372924

Arroni, Jeremy Galindo ; Tresierra, Cristhian Acasiete ; Durango, Daniel Burga. / Automation of the psychological care process in university students using machine learning. Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023).

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title = "Automation of the psychological care process in university students using machine learning",

abstract = "With the increase of the university population, the individual psychological care service by psychologists in universities has been affected. Which has caused discomfort among students to access the psychological consulting service. Therefore, this project aims to implement a data analysis system to control the psychological variables that affect university students, improving attention to them through the use of artificial intelligence (AI). We present a system that allows the visualization of data related to the mental health of the students who developed a psychological test, with which the psychologist will be able to diagnose the student's mental state and determine if he or she requires personalized attention. Finally, with this research, we achieved an improvement in the speed of attention and quality of service for the student.",

keywords = "artificial intelligence, data analysis, psychological variables",

author = "Arroni, \{Jeremy Galindo\} and Tresierra, \{Cristhian Acasiete\} and Durango, \{Daniel Burga\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023 ; Conference date: 13-12-2023 Through 15-12-2023",

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doi = "10.1109/ICALTER61411.2023.10372924",

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Arroni, JG, Tresierra, CA & Durango, DB 2023, Automation of the psychological care process in university students using machine learning. En Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023. Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023, Chiclayo, Perú, 13/12/23. https://doi.org/10.1109/ICALTER61411.2023.10372924

Automation of the psychological care process in university students using machine learning. / Arroni, Jeremy Galindo; Tresierra, Cristhian Acasiete; Durango, Daniel Burga.
Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023).

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

TY - GEN

T1 - Automation of the psychological care process in university students using machine learning

AU - Arroni, Jeremy Galindo

AU - Tresierra, Cristhian Acasiete

AU - Durango, Daniel Burga

PY - 2023

Y1 - 2023

N2 - With the increase of the university population, the individual psychological care service by psychologists in universities has been affected. Which has caused discomfort among students to access the psychological consulting service. Therefore, this project aims to implement a data analysis system to control the psychological variables that affect university students, improving attention to them through the use of artificial intelligence (AI). We present a system that allows the visualization of data related to the mental health of the students who developed a psychological test, with which the psychologist will be able to diagnose the student's mental state and determine if he or she requires personalized attention. Finally, with this research, we achieved an improvement in the speed of attention and quality of service for the student.

AB - With the increase of the university population, the individual psychological care service by psychologists in universities has been affected. Which has caused discomfort among students to access the psychological consulting service. Therefore, this project aims to implement a data analysis system to control the psychological variables that affect university students, improving attention to them through the use of artificial intelligence (AI). We present a system that allows the visualization of data related to the mental health of the students who developed a psychological test, with which the psychologist will be able to diagnose the student's mental state and determine if he or she requires personalized attention. Finally, with this research, we achieved an improvement in the speed of attention and quality of service for the student.

KW - artificial intelligence

KW - data analysis

KW - psychological variables

UR - https://www.scopus.com/pages/publications/85182998901

U2 - 10.1109/ICALTER61411.2023.10372924

DO - 10.1109/ICALTER61411.2023.10372924

M3 - Contribución a la conferencia

AN - SCOPUS:85182998901

T3 - Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023

BT - Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023

Y2 - 13 December 2023 through 15 December 2023

ER -

Arroni JG, Tresierra CA, Durango DB. Automation of the psychological care process in university students using machine learning. En Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023). doi: 10.1109/ICALTER61411.2023.10372924

Automation of the psychological care process in university students using machine learning

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