Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence
Descripción del Articulo
The article aims to adapt and validate an instrument to measure students' attitudes towards artificial intelligence, developed by Schepman and Rodway (2020). This is due to the lack of sufficient instruments at the time of this research that could collect valuable information for designing educ...
Autores: | , , , |
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Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Universidad de Piura |
Repositorio: | Revista de Comunicación |
Lenguaje: | español |
OAI Identifier: | oai:revistas.udep.edu.pe:article/3493 |
Enlace del recurso: | https://revistadecomunicacion.com/article/view/3493 |
Nivel de acceso: | acceso abierto |
Materia: | validación de instrumento inteligencia artificial actitud del estudiante universitarios instrument validation artificial intelligence student attitude university students |
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oai:revistas.udep.edu.pe:article/3493 |
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REVUDEP |
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Revista de Comunicación |
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dc.title.none.fl_str_mv |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence Adaptación y validación de un instrumento para medir las actitudes de los universitarios hacia la inteligencia artificial |
title |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
spellingShingle |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence Gálvez Marquina, Mario César validación de instrumento inteligencia artificial actitud del estudiante universitarios instrument validation artificial intelligence student attitude university students |
title_short |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
title_full |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
title_fullStr |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
title_full_unstemmed |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
title_sort |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligence |
dc.creator.none.fl_str_mv |
Gálvez Marquina, Mario César Pinto-Villar, Yenny Marilú Mendoza Aranzamendi, Jessica Aleida Anyosa Gutiérrez., Bartolomé Jorge |
author |
Gálvez Marquina, Mario César |
author_facet |
Gálvez Marquina, Mario César Pinto-Villar, Yenny Marilú Mendoza Aranzamendi, Jessica Aleida Anyosa Gutiérrez., Bartolomé Jorge |
author_role |
author |
author2 |
Pinto-Villar, Yenny Marilú Mendoza Aranzamendi, Jessica Aleida Anyosa Gutiérrez., Bartolomé Jorge |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
validación de instrumento inteligencia artificial actitud del estudiante universitarios instrument validation artificial intelligence student attitude university students |
topic |
validación de instrumento inteligencia artificial actitud del estudiante universitarios instrument validation artificial intelligence student attitude university students |
description |
The article aims to adapt and validate an instrument to measure students' attitudes towards artificial intelligence, developed by Schepman and Rodway (2020). This is due to the lack of sufficient instruments at the time of this research that could collect valuable information for designing educational interventions tailored to these specific attitudes. A quantitative and descriptive research was conducted with 411 students from seventeen universities in Peru. The instrument consists of 32 items, evaluating both positive and negative attitudes towards AI. The hypothesis tested was that the Schepman and Rodway (2020) instrument would demonstrate high reliability after being adapted and validated in the Peruvian context. Following adjustments, improvements in the instrument's values were observed. The results indicate that the overall reliability of the instrument was acceptable, with values ranging between 0.806 and 0.938, depending on the dimensions considered. The item-total correlation and the determinant of the matrix suggested the possibility of grouping the items into dimensions. These results support the internal structure of the instrument. The diversity of dimensions highlights the complexity of attitudes towards AI, underscoring the need for further research. In conclusion, the adaptation and validation of the questionnaire showed high reliability, whether with the original two dimensions and 32 items or with the proposed four dimensions and 28 items. The instrument can be effectively used to measure the attitudes of Peruvian students towards AI. Further research is suggested to better understand the identified dimensions and their impact on the use of AI in education. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-09-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article evaluated by pairs Artículo evaluado por pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistadecomunicacion.com/article/view/3493 10.26441/RC23.2-2024-3493 |
url |
https://revistadecomunicacion.com/article/view/3493 |
identifier_str_mv |
10.26441/RC23.2-2024-3493 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistadecomunicacion.com/article/view/3493/2865 https://revistadecomunicacion.com/article/view/3493/2902 |
dc.rights.none.fl_str_mv |
Derechos de autor 2024 Revista de Comunicación http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2024 Revista de Comunicación http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.publisher.none.fl_str_mv |
Universidad de Piura. Facultad de Comunicación |
publisher.none.fl_str_mv |
Universidad de Piura. Facultad de Comunicación |
dc.source.none.fl_str_mv |
Revista de Comunicación; Vol. 23 No. 2 (2024); 125-142 Revista de Comunicación; Vol. 23 Núm. 2 (2024); 125-142 2227-1465 1684-0933 10.26441/RC23.2-2024 reponame:Revista de Comunicación instname:Universidad de Piura instacron:UDEP |
instname_str |
Universidad de Piura |
instacron_str |
UDEP |
institution |
UDEP |
reponame_str |
Revista de Comunicación |
collection |
Revista de Comunicación |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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1837643726257651712 |
spelling |
Adaptation and validation of an instrument to measure university students' attitudes towards artificial intelligenceAdaptación y validación de un instrumento para medir las actitudes de los universitarios hacia la inteligencia artificialGálvez Marquina, Mario César Pinto-Villar, Yenny Marilú Mendoza Aranzamendi, Jessica Aleida Anyosa Gutiérrez., Bartolomé Jorge validación de instrumentointeligencia artificialactitud del estudianteuniversitariosinstrument validationartificial intelligencestudent attitudeuniversity studentsThe article aims to adapt and validate an instrument to measure students' attitudes towards artificial intelligence, developed by Schepman and Rodway (2020). This is due to the lack of sufficient instruments at the time of this research that could collect valuable information for designing educational interventions tailored to these specific attitudes. A quantitative and descriptive research was conducted with 411 students from seventeen universities in Peru. The instrument consists of 32 items, evaluating both positive and negative attitudes towards AI. The hypothesis tested was that the Schepman and Rodway (2020) instrument would demonstrate high reliability after being adapted and validated in the Peruvian context. Following adjustments, improvements in the instrument's values were observed. The results indicate that the overall reliability of the instrument was acceptable, with values ranging between 0.806 and 0.938, depending on the dimensions considered. The item-total correlation and the determinant of the matrix suggested the possibility of grouping the items into dimensions. These results support the internal structure of the instrument. The diversity of dimensions highlights the complexity of attitudes towards AI, underscoring the need for further research. In conclusion, the adaptation and validation of the questionnaire showed high reliability, whether with the original two dimensions and 32 items or with the proposed four dimensions and 28 items. The instrument can be effectively used to measure the attitudes of Peruvian students towards AI. Further research is suggested to better understand the identified dimensions and their impact on the use of AI in education.El artículo tiene como objetivo adaptar y validar un instrumento para medir las actitudes de los estudiantes hacia la inteligencia artificial, desarrollado por Schepman y Rodway (2020). Esto se debe a que, al momento de realizar esta investigación, aún no se contaba con suficientes instrumentos que pudieran recopilar información valiosa para diseñar intervenciones educativas adaptadas a estas actitudes específicas. Se llevó a cabo una investigación cuantitativa y descriptiva con 411 estudiantes de diecisiete universidades en Perú. El instrumento consta de 32 ítems, evaluando actitudes positivas y negativas hacia la IA. La hipótesis que se probó, es que existe alta fiabilidad del instrumento de Schepman y Rodway (2020), luego de adaptarlo y validarlo en el contexto peruano. Tras realizar ajustes, se observaron mejoras en los valores del instrumento. Los resultados indican que, la fiabilidad total del instrumento fue aceptable con valores entre p=,806 y p=,938, según las dimensiones consideradas. La correlación ítem-resto y el determinante de la matriz indicaron la posibilidad de agrupar los reactivos en dimensiones. Estos resultados respaldan la estructura interna del instrumento. La diversidad de dimensiones señala la complejidad de las actitudes hacia la IA, destacando la necesidad de investigaciones adicionales. En conclusión, la adaptación y validación del cuestionario mostraron alta fiabilidad, ya sea con dos dimensiones originales y 32 ítems, o con cuatro dimensiones propuestas y 26 ítems. El instrumento puede utilizarse efectivamente para medir las actitudes de los estudiantes peruanos hacia la IA. Se sugiere investigación adicional para comprender mejor las dimensiones identificadas y su impacto en el uso de la IA en la educación.Universidad de Piura. Facultad de Comunicación2024-09-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticle evaluated by pairsArtículo evaluado por paresapplication/pdfapplication/xmlhttps://revistadecomunicacion.com/article/view/349310.26441/RC23.2-2024-3493Revista de Comunicación; Vol. 23 No. 2 (2024); 125-142Revista de Comunicación; Vol. 23 Núm. 2 (2024); 125-1422227-14651684-093310.26441/RC23.2-2024reponame:Revista de Comunicacióninstname:Universidad de Piurainstacron:UDEPspahttps://revistadecomunicacion.com/article/view/3493/2865https://revistadecomunicacion.com/article/view/3493/2902Derechos de autor 2024 Revista de Comunicaciónhttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessoai:revistas.udep.edu.pe:article/34932025-07-02T23:02:13Z |
score |
13.982926 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).