Use of artificial intelligence in undergraduate students: question-based learning
Abstract
This study examines the use of artificial intelligence among college students, focusing on benefits, challenges, and technological preferences. Using a quantitative approach, literature review, and a survey of 127 students at a private university in Guadalajara, Jalisco, Mexico, the study found that 99% of students use it, primarily two to three times a week. Motivation includes easy access, time savings, rapid information retrieval, and better understanding. Laptop computers (79%) and mobile phones (58%) are the preferred devices, with ChatGPT, Copilot, and Gemini being the most popular tools. Benefits include personalized learning, immediate feedback, and adaptability. However, challenges include unreliable information, complex explanations, accuracy issues, logical flaws, lack of customization, and missing citations. Despite these challenges, the study concludes that it improves undergraduate learning and recommends its incorporation as a complementary educational tool to enhance undergraduate learning outcomes. Possible practical implications: how to incorporate artificial intelligence as a tool in teaching plans?
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References
Akgun, S. y Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440. https://doi.org/10.1007/s43681-021-00096-7
Aliabadi, R., Singh, A. y Wilson, E. (2023). Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence. En T. Schlippe, E. C. K. Cheng, y T. Wang (Eds.), Artificial Intelligence in Education Technologies: New Development and
Innovative Practices (pp. 137-151). Springer Nature. https://doi.org/10.1007/978-981-99-7947-9_11
Alpizar, G. L. O. y Martínez, R. H. (2024). Perspectiva de estudiantes de nivel medio superior respecto al uso de la inteligencia artificial generativa en su aprendizaje. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 14(28). https://doi.org/10.23913/ride.v14i28.1830
Bauman, Z. y Leoncini, T. (2018). Generación liquida: Transformaciones en la era 3.0 (Primera). Paidós.
Bauman, Z. (2005). Los retos de la educación en la modernidad liquida (Primera). Gedisa. https://www.uv.mx/mie/files/2012/10/retos-educacion-modernidad.pdf
Chan, C. K. y Tsi, L. H. Y. (2023). The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? (arXiv:2305.01185). arXiv. https://doi.org/10.48550/arXiv.2305.01185
Chao, R. C. y Rivera, N. M. A. (2024). Usos y percepciones de herramientas de inteligencia artificial en la educación superior en México. Revista Iberoamericana de Educación, 95(1). https://doi.org/10.35362/rie9516259
ChatGPT. (2024, octubre 26). ¿Cómo estructurar una pregunta correctamente? https://chatgpt.com
Collecchia, G. y De Gobbi, R. (2024). AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine (Primera). Elselvier. https://shop.elsevier.com/books/ai-in-clinical-practice/collecchia/978-0-443-14054-9
Fahimirad, M. y Kotamjani, S. S. (2018). A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts. International Journal of Learning and Development, 8(4). https://doi.org/10.5296/ijld.v8i4.14057
García, S. O. V. (2023). Uso y percepción de ChatGPT en la educación superior. Revista de Investigación en Tecnologías de la Información, 11(23). https://doi.org/10.36825/RITI.11.23.009
González, C. V., Prendes, E. P. y Roig, V. R. (2021). Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences, 11(12). https://doi.org/10.3390/app11125467
Hernández, G. M. H., Ramos, Q. J. M., Chávez, M. F. J. y Trejo, C. M. del C. (2024). Ventajas y riesgos de la Inteligencia Artificial Generativa desde la percepción de los estudiantes de educación superior en México. European Public y Social Innovation Review, 9, 1-19. https://doi.org/10.31637/epsir-2024-495
Hernández, Á. C. E.y Escobar, N. A. C. (2019). Introducción a los tipos de muestreo. Alerta, Revista científica del Instituto Nacional de Salud, 2(1). https://doi.org/10.5377/alerta.v2i1.7535
Idroes, G. M., Noviandy, T. R., Maulana, A., Irvanizam, I., Jalil, Z., Lensoni, L., Lala, A., Abas, A. H., Tallei, T. E. y Idroes, R. (2023). Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis | Journal of Educational Management and Learning. Journal of Educational
Management and Learning, 1(1). https://doi.org/10.60084/jeml.v1i1.58
Instituto Tecnológico de Estudios Superiores de Monterrey (2024, enero). IFE Conference. IFE Conferece. https://ciie.itesm.mx/es/
Kamalov, F., Santandreu, C. D. y Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), Article 16. https://doi.org/10.3390/su151612451
Luckin, R., Holmes, W., Griffiths, M. y Forcier, L. B. (2016). Intelligence Unleashed: An argument for AI in Education. Pearson Education. https://www.pearson.com/corporate/about-pearson/what-we-do/innovation/smarter-digital-tools/intelligence-unleashed.html
Neji, W., Boughattas, N. y Ziadi, F. (2023). Exploring New AI-Based Technologies to Enhance Students’ Motivation. Issues in Informing Science and Information Technology, 20, 095-110. https://doi.org/10.28945/5149
Pérez, Á. M. A. (2024). Crítica de la razón artificial. Simposio internacional SOMECE 2024: Benemérita Universidad Autónoma de Puebla. https://www.facebook.com/SOMECE/videos/914414176743525
Puertas, E. (2024). Indicaciones prácticas para usar ChatGPT. En ChatGPT y educación universitaria: Posibilidades y límites de ChatGPT como herramienta docente (Primera). Octaedro. https://octaedro.com/libro/chatgpt-y-educacion-universitaria/
Sigman, M. y Bilinkis, S. (2023). Artificial: La nueva inteligencia y el contorno de lo humano (Primera). Debate. https://www.amazon.com.mx/Artificial-nueva-inteligencia-contorno-humano-ebook/dp/B0CHHL4667/?tag=wkss20-20
Ulloa, M. J. L. U., Sólorzano, M. C. M., Díaz, C. E. G., Quiñonez, B. N. M. y Baque Mite, L. A. (2024). Usos de la inteligencia artificial en los estudiantes universitarios. Polo del Conocimiento, 9(8). https://doi.org/10.23857/pc.v9i8.7899
Uribe, F. (2024). Los Retos de la Inteligencia Artificial (IA) en la Educación de México. Ciencia Latina Revista Científica Multidisciplinar, 8, 2607-2626. https://doi.org/10.37811/cl_rcm.v8i5.13723
Wale, B. D. y Bishaw, K. S. (2020). Effects of using inquiry-based learning on EFL students’ critical thinking skills. Asian-Pacific Journal of Second and Foreign Language Education, 5(1), 9. https://doi.org/10.1186/s40862-020-00090-2
Wale, B. D. y Bogale, Y. N. (2021). Using inquiry-based writing instruction to develop students’ academic writing skills. Asian-Pacific Journal of Second and Foreign Language Education, 6(1), 4. https://doi.org/10.1186/s40862-020-00108-9
Zamora, Ú. Z. C. y Stynze, G. H. O. (2024). Conocimiento, uso y percepción de la inteligencia artificial en la enseñanza superior. Revista Científica Estelí, 49. https://doi.org/10.5377/esteli.v13i49.17889
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