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

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas

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

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350395471
DOIs	https://doi.org/10.1109/ICALTER61411.2023.10372924
State	Published - 2023
Event	3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023 - Chiclayo, Peru Duration: 13 Dec 2023 → 15 Dec 2023

Publication series

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

Conference

Conference	3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
Country/Territory	Peru
City	Chiclayo
Period	13/12/23 → 15/12/23

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

artificial intelligence
data analysis
psychological variables

Access to Document

10.1109/ICALTER61411.2023.10372924

Cite this

Arroni, J. G., Tresierra, C. A., & Durango, D. B. (2023). Automation of the psychological care process in university students using machine learning. In 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",

year = "2023",

doi = "10.1109/ICALTER61411.2023.10372924",

language = "Ingl{\'e}s",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

}

Arroni, JG, Tresierra, CA & Durango, DB 2023, Automation of the psychological care process in university students using machine learning. in 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, Peru, 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).

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

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. In 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

Abstract

Publication series

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UN SDGs

Keywords

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