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

Descripción del Articulo

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...

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Detalles Bibliográficos
Autores: Arroni, Jeremy Galindo, Tresierra, Cristhian Acasiete, Durango, Daniel Burga
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/673089
Enlace del recurso:http://hdl.handle.net/10757/673089
Nivel de acceso:acceso embargado
Materia:artificial intelligence
data analysis
psychological variables
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dc.title.es_PE.fl_str_mv Automation of the psychological care process in university students using machine learning
title Automation of the psychological care process in university students using machine learning
spellingShingle Automation of the psychological care process in university students using machine learning
Arroni, Jeremy Galindo
artificial intelligence
data analysis
psychological variables
title_short Automation of the psychological care process in university students using machine learning
title_full Automation of the psychological care process in university students using machine learning
title_fullStr Automation of the psychological care process in university students using machine learning
title_full_unstemmed Automation of the psychological care process in university students using machine learning
title_sort Automation of the psychological care process in university students using machine learning
author Arroni, Jeremy Galindo
author_facet Arroni, Jeremy Galindo
Tresierra, Cristhian Acasiete
Durango, Daniel Burga
author_role author
author2 Tresierra, Cristhian Acasiete
Durango, Daniel Burga
author2_role author
author
dc.contributor.author.fl_str_mv Arroni, Jeremy Galindo
Tresierra, Cristhian Acasiete
Durango, Daniel Burga
dc.subject.es_PE.fl_str_mv artificial intelligence
data analysis
psychological variables
topic artificial intelligence
data analysis
psychological variables
description 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.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2024-03-18T15:36:52Z
dc.date.available.none.fl_str_mv 2024-03-18T15:36:52Z
dc.date.issued.fl_str_mv 2023-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/ICALTER61411.2023.10372924
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/673089
dc.identifier.journal.es_PE.fl_str_mv Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
dc.identifier.eid.none.fl_str_mv 2-s2.0-85182998901
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85182998901
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identifier_str_mv 10.1109/ICALTER61411.2023.10372924
Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
2-s2.0-85182998901
SCOPUS_ID:85182998901
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url http://hdl.handle.net/10757/673089
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
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instname_str Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/673089/1/license.txt
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spelling 16fc66605bec659f2b8765729b26fc34300d676dd1b817b349ff80a3c18533b7eb8300930f607e2b7b02ef2136e3f10883944bArroni, Jeremy GalindoTresierra, Cristhian AcasieteDurango, Daniel Burga2024-03-18T15:36:52Z2024-03-18T15:36:52Z2023-01-0110.1109/ICALTER61411.2023.10372924http://hdl.handle.net/10757/673089Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 20232-s2.0-85182998901SCOPUS_ID:851829989010000 0001 2196 144XWith 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.Revisión por paresODS 3: Salud y BienestarODS 4: Educación de CalidadODS 9: Industria, Innovación e Infraestructuraapplication/htmlengInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCartificial intelligencedata analysispsychological variablesAutomation of the psychological care process in university students using machine learninginfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/673089/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/673089oai:repositorioacademico.upc.edu.pe:10757/6730892024-07-20 04:32:10.495Repositorio académico upcupc@openrepository.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Automation of the psychological care process in university students using machine learning
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