Inteligencia artificial y ética académica en estudiantes de una universidad pública
Fecha
2024
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Universidad Nacional San Luis Gonzaga
Resumen
Fue determinar la relación entre la inteligencia artificial y la ética académica en
estudiantes de una universidad pública. Métodos: Utilizando un enfoque cuantitativo y un diseño
no experimental-transversal, se analizó una muestra de 274 estudiantes de enfermería,
recolectando datos a través de encuestas que incluían cuestionarios categorizados en niveles bajo,
medio y alto, para la obtención de resultados se aplicó la estadística descriptiva que permitió
presentar los resultados en tablas de frecuencia y la estadística inferencial para contrastar la
hipótesis a través de la prueba estadística Rho de Spearman. Resultados: Se encontró que 93,8%
de estudiantes utilizan Inteligencia Artificial siendo el Chat GPT la herramienta más popular en
59,1%. L os estudiantes de enfermería que utilizan inteligencia artificial y presentan un nivel
medio de ética académica son en su mayoría mujeres (69.3%), con una edad predominante entre
20 y 25 años (71.9%). La mayoría cursa el décimo ciclo (26.3%) y proviene de zonas urbanas
(58.4%). Además, la mayoría son solteros/as (83.6%) y residen en el distrito de Ica (42%). Sin
embargo, no se halló una correlación significativa entre las variables sociodemográficas.
Conclusión: Se encontró una correlación positiva débil pero significativa entre el uso de
inteligencia artificial y la ética académica, entonces es evidente que un mayor uso consciente de
la tecnología podría estar asociado con una mejora en los estándares éticos académicos en
estudiantes de una Universidad Pública.
To determine the relationship between artificial intelligence and academic ethics among students at a public university. Methods: Using a quantitative approach and a nonexperimental cross-sectional design, a sample of 274 nursing students was analyzed. Data were collected through surveys that included questionnaires categorized into low, medium, and high levels. Descriptive statistics were applied to present the results in frequency tables, and inferential statistics were used to test the hypothesis through the Spearman's Rho statistical test. Results: It was found that 93.8% of students use artificial intelligence, with Chat GPT being the most popular tool at 59.1%. Nursing students who use artificial intelligence and exhibit a medium level of academic ethics are predominantly female (69.3%), with a majority aged between 20 and 25 years (71.9%). Most are in their tenth cycle (26.3%) and come from urban areas (58.4%). Additionally, most are single (83.6%) and reside in the district of Ica (42%). However, no significant correlation was found between the sociodemographic variables. Conclusion: A weak but significant positive correlation was found between the use of artificial intelligence and academic ethics, indicating that a greater conscious use of technology may be associated with improved academic ethical standards among students at a public university.
To determine the relationship between artificial intelligence and academic ethics among students at a public university. Methods: Using a quantitative approach and a nonexperimental cross-sectional design, a sample of 274 nursing students was analyzed. Data were collected through surveys that included questionnaires categorized into low, medium, and high levels. Descriptive statistics were applied to present the results in frequency tables, and inferential statistics were used to test the hypothesis through the Spearman's Rho statistical test. Results: It was found that 93.8% of students use artificial intelligence, with Chat GPT being the most popular tool at 59.1%. Nursing students who use artificial intelligence and exhibit a medium level of academic ethics are predominantly female (69.3%), with a majority aged between 20 and 25 years (71.9%). Most are in their tenth cycle (26.3%) and come from urban areas (58.4%). Additionally, most are single (83.6%) and reside in the district of Ica (42%). However, no significant correlation was found between the sociodemographic variables. Conclusion: A weak but significant positive correlation was found between the use of artificial intelligence and academic ethics, indicating that a greater conscious use of technology may be associated with improved academic ethical standards among students at a public university.
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Palabras clave
Inteligencia artificial, Ética, Ética en investigación, Artificial intelligence