Preprint / Version 1

Pedagogical Strategies and Perceptions on Artificial Intelligence in the Development of Critical Thinking in Nursing Students in Argentina

Authors

DOI:

https://doi.org/10.62059/LatArXiv.preprints.199

Keywords:

Critical thinking, Artificial intelligence, Nursing education, Pedagogical strategies, Educational technology

Abstract

This study explores the most effective strategies to promote critical thinking in nursing students through the use of artificial intelligence tools. (IA). Using a quantitative methodological approach, a questionnaire was administered to 89 nursing students in Buenos Aires and Chaco, Argentina. The results indicate that 58.4% of students use AI tools, with chatbots being the most common. Although the majority reported significant adoption, only 5.6% have a high level of knowledge about AI. The data reveals mixed perceptions regarding the impact of AI on clinical problem-solving ability and overall learning. The strategies most valued by students for improving critical thinking include group discussions and case studies. The integration of AI in nursing education can enhance learning, but its effectiveness depends on a balanced implementation and ongoing training that combines both technical and practical aspects.

References

Barrows, H. (1996) Problem Based Learning in Medicine and Beyond: A Brief Overview. New Directions for Teaching and Learning, 68, 3-12. https://doi.org/10.1002/tl.37219966804

Cabañas-Rosales, M. Peña-Marcial, E. Reyna-Ávila, L. Godínez-Jaimes, F. y Telumbre-Terrero, J. (2023). Pensamiento reflexivo y crítico en estudiantes de enfermería: un análisis cualitativo. Ciencia Latina Revistas Científicas Multidisciplinares, 7 (2), p. 2838-2851.

Cant, RP and Cooper, SJ. (2010). Simulation‐based learning in nurse education: systematic review. Journal of Advanced Nursing, 66 (1), 3-15, 10.1111/j.1365-2648.2009.05240.x

Cortés Cortés, M. E. (2024). Sobre inteligencia artificial, enfermería, ciencias biomédicas y educación. Revista Cubana de Enfermería, 40, e6171. https://doi.org/10.379996795

Hernández, Y. N., Larrinaga, M. R., & Pacheco, J. A. C. (2016). Reflexiones conceptuales sobre algunas teorías de enfermería y su validez en la práctica cubana. Revista Cubana de enfermería, 32(4), 126-138

Kuiper, K. Pesut, D. Kautz, D. (2009). Promoting the self-regulation of clinical reasoning skills in nursing students. Open Nurs J. 2;(3):76-85. doi: 10.2174/1874434600903010076. PMID: 19888432; PMCID: PMC2771264.

Mejías, M., Guarate Coronado, Y. C., & Jiménez Peralta, A. L. (2022). Inteligencia artificial en el campo de la enfermería: implicaciones en la asistencia, administración y educación. Salud, Ciencia y Tecnología, 2, 88. https://doi.org/10.56294/saludcyt202288

Morales-Obod, M., Remi̇rez, M. N. V., Satri̇a, E., y Indri̇ani̇, D. E. (2020). Effectiveness on the Use of Mother Tongue in Teaching the Concepts of Fraction Among Second Grade of Elementary School Pupils. Journal for the Education of Gifted Young Scientists, 293-304. https://doi. org/10.17478/jegys.637002

Paul, R. y Elder, L. (2005). Una Guía para los Educadores en los Estándares de Competencia para el Pensamiento Crítico. Estándares, Principios, Desempeño, Indicadores y Resultados con una Rúbrica Maestra en el Pensamiento Crítico. https://eduteka.icesi.edu.co/articulos/EstandaresPensamientoCritico

Vicuña Palacios, A. Cantos Heredia, V. (2024). Integración de Sistemas de Inteligencia Artificial en la Formación de Enfermería: Beneficios, Desafíos y Perspectivas Futuras. Ciencia Latina Revista Científica Multidisciplinar, México, 8 (3), p. 5175-5186 https://doi.org/10.37811/cl_rcm.v8i3.11722

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Posted

2024-09-25