Inteligencia artificial y cambio en las políticas educativas: un estudio cuantitativo en Institutos Superiores Tecnológicos de Lima Centro

Autores

DOI:

https://doi.org/10.5281/zenodo.18273955

Palavras-chave:

transformación digital, educación técnica superior, innovación pedagógica, tecnología educativa, gestión institucional, reforma curricular

Resumo

El presente estudio analiza la relación entre la implementación de inteligencia artificial y las transformaciones en políticas educativas dentro de institutos superiores tecnológicos situados en Lima Centro.  Analizar la relación entre la adopción de IA y la percepción de transformación de las prácticas pedagógicas y en la adaptación curricular dentro de los Institutos Superiores Tecnológicos de Lima Centro. Es de metodología de tipo cuantitativo, con diseño no experimental transversal correlacional-causal. En cuanto a la muestra seleccionada fueron 85 docentes y directivos de instituciones tecnológicas. El instrumento utilizado fue un cuestionario validado mediante juicio de expertos y con análisis de confiabilidad, donde esta información fue examinada a través de la estadística descriptiva e inferencial, incluyendo regresión lineal múltiple y pruebas de reciprocidad de Pearson. Se demostraron una reciprocidad positiva significativa (r=0.731, p<0.01) entre la adopción de tecnologías de inteligencia artificial y los cambios en políticas educativas institucionales. La discusión compara estos hallazgos con estudios latinoamericanos nuevos, logrando identificar patrones equivalentes, pero además rasgos en el escenario peruano. La inteligencia artificial se relaciona significativamente con la percepción de renovación de marcos legales educativos, si bien permanecen brechas en capacitación docente e infraestructura. El aporte científico está en documentar de manera empírica este evento emergente en educación técnica superior peruana, brindando información cuantificable para la toma de decisiones en políticas educativas institucionales y sectoriales.

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Referências

Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta Foundation. https://doi.org/10.13140/RG.2.2.26501.81120

Bond, M., Marín, V. I., Dolch, C., Bedenlier, S., & Zawacki-Richter, O. (2018). Digital transformation in German higher education: Student and teacher perceptions and usage of digital media. International Journal of Educational Technology in Higher Education, 15(48), 1-20. https://doi.org/10.1186/s41239-018-0130-1

Buckingham Shum, S., Ferguson, R., & Martinez-Maldonado, R. (2019). Human-centred learning analytics. Journal of Learning Analytics, 6(2), 1-9. https://doi.org/10.18608/jla.2019.62.1

Cabero-Almenara, J., & Martínez, A. (2019). Las tecnologías de la información y comunicación y la formación inicial de los docentes: Modelos y competencias digitales. Profesorado, Revista de Currículum y Formación del Profesorado, 23(3), 247-268. https://doi.org/10.30827/profesorado.v23i3.9421

Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510

Chiecher, A. C., & Melgar, M. F. (2021). Transformación digital en universidades argentinas: Políticas institucionales y prácticas docentes en tiempos de pandemia. Revista Iberoamericana de Educación Superior, 12(35), 24-43. https://doi.org/10.22201/iisue.20072872e.2021.35.113

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(22), 1-22. https://doi.org/10.1186/s41239-023-00392-8

Durán, M., Gutiérrez, I., & Prendes, M. P. (2022). Análisis conceptual de modelos de competencia digital del profesorado universitario. Revista Electrónica Interuniversitaria de Formación del Profesorado, 25(1), 97-114. https://doi.org/10.6018/reifop.511261

Fullan, M. (2020). Leading in a culture of change. Jossey-Bass.

Fullan, M., & Gallagher, M. J. (2020). The devil is in the details: System solutions for equity, excellence, and student well-being. Corwin Press.

García-Peñalvo, F. J., Corell, A., Abella-García, V., & Grande-de-Prado, M. (2021). Recommendations for mandatory online assessment in higher education during the COVID-19 pandemic. Education in the Knowledge Society, 22, e23109. https://doi.org/10.14201/eks.23109

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001

Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics to support study success in higher education: A systematic review. Educational Technology Research and Development, 68(4), 1961-1990. https://doi.org/10.1007/s11423-020-09788-z

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451

Kim, J., & Kim, M. (2022). Rise of social media influencers as a new marketing channel: Focusing on the roles of psychological well-being and perceived social responsibility among consumers. International Journal of Environmental Research and Public Health, 19(4), 2362. https://doi.org/10.3390/ijerph19042362

Koehler, M. J., & Mishra, P. (2023). TPACK in the age of ChatGPT and generative AI. Journal of Technology and Teacher Education, 31(2), 303-310.

López-Meneses, E., Sirignano, F. M., Vázquez-Cano, E., & Ramírez-Hurtado, J. M. (2020). University students' digital competence in three areas of the DigCom 2.1 model: A comparative study at three European universities. Australasian Journal of Educational Technology, 36(3), 69-88. https://doi.org/10.14742/ajet.5583

Martínez-Cerdá, J. F., Torrent-Sellens, J., & González-González, I. (2018). Socio-technical e-learning innovation and ways of learning in the ICT-space-time continuum to improve the competitiveness of organizations. Computers in Human Behavior, 88, 381-387. https://doi.org/10.1016/j.chb.2018.07.022

Martínez-Garcés, J., & Garcés-Fuenmayor, J. (2020). Competencias digitales docentes y el reto de la educación virtual derivado de la covid-19. Educación y Humanismo, 22(39), 1-16. https://doi.org/10.17081/eduhum.22.39.4114

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000366994

Pregowski, M. (2020). The myth of digital natives. Studies in Logic, Grammar and Rhetoric, 62(1), 93-107. https://doi.org/10.2478/slgr-2020-0019

Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2021). Balancing technology, pedagogy and the new normal: Post-pandemic challenges for higher education. Postdigital Science and Education, 3(3), 715-742. https://doi.org/10.1007/s42438-021-00249-1

Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52. https://doi.org/10.3390/fi13020052

Rojas-Castro, A., & Torres-Coronas, T. (2020). Análisis de políticas públicas en educación digital en América Latina. Revista Española de Educación Comparada, 36, 225-244. https://doi.org/10.5944/reec.36.2020.27118

Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2019). Informal tools in formal contexts: Development of a model to assess the acceptance of mobile technologies among teachers. Computers in Human Behavior, 55(Part A), 519-528. https://doi.org/10.1016/j.chb.2015.07.002

Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & Education, 128, 13-35. https://doi.org/10.1016/j.compedu.2018.09.009

Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). Sage Publications.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/10.1016/j.caeai.2023.100127

Tan, S. C., Chan, C., Bielaczyc, K., Ma, L., Scardamalia, M., & Bereiter, C. (2020). Knowledge building: Aligning education with needs for knowledge creation in the digital age. Educational Technology Research and Development, 69(4), 2243-2266. https://doi.org/10.1007/s11423-020-09913-w

Tsai, Y. S., Perrotta, C., & Gašević, D. (2022). Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics. Assessment & Evaluation in Higher Education, 47(4), 554-567. https://doi.org/10.1080/02602938.2019.1676396

Trust, T., & Whalen, J. (2020). Should teachers be trained in emergency remote teaching? Lessons learned from the COVID-19 pandemic. Journal of Technology and Teacher Education, 28(2), 189-199.

Tuomi, I. (2018). The impact of artificial intelligence on learning, teaching, and education. European Union. https://doi.org/10.2760/12297

Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2020). The current landscape of learning analytics in higher education. Computers in Human Behavior, 89, 98-110. https://doi.org/10.1016/j.chb.2018.07.027

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235. https://doi.org/10.1080/17439884.2020.1798995

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(39), 1-27. https://doi.org/10.1186/s41239-019-0171-0

Zhao, Y., & Watterston, J. (2021). The changes we need: Education post COVID-19. Journal of Educational Change, 22(1), 3-12. https://doi.org/10.1007/s10833-021-09417-3

Publicado

2024-12-31

Como Citar

Velit Romero, M. R. (2024). Inteligencia artificial y cambio en las políticas educativas: un estudio cuantitativo en Institutos Superiores Tecnológicos de Lima Centro. Revista Arbitrada De Educación Contemporánea, 2(2), 64–84. https://doi.org/10.5281/zenodo.18273955

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