Incorporación de la inteligencia artificial a la educación cubana. Ventajas y limitaciones

Ernesto Sardiñas Padilla; Keylan Valdés García

doi:10.58763/rc2025372

Autores/as

Ernesto Sardiñas Padilla Universidad de La Habana. La Habana, Cuba https://orcid.org/0009-0004-6505-033X
Keylan Valdés García Universidad de Ciencias Informática. La Habana, Cuba https://orcid.org/0009-0006-6603-5515

DOI:

https://doi.org/10.58763/rc2025372

Palabras clave:

informática, inteligencia artificial, tecnología de la información, tecnología educacional

Resumen

La inteligencia artificial (IA) representa un conjunto de herramientas y modelos que en los últimos tiempos han experimentado un desarrollo exponencial. Debido a sus diversas prestaciones, ha recibido un importante impulso y se ha comenzado a introducir en un número creciente de áreas con una amplia gama de usos. En países desarrollados, la implementación de las nuevas tecnologías referentes a las IA en el sector educativo lleva una ventaja evidente en cuanto al camino recorrido. El objetivo de la presente investigación fue analizar las posibilidades de implementación de la IA en el proceso de enseñanza-aprendizaje desde edades tempranas en Cuba. A partir de una revisión bibliográfica de los antecedentes más relevantes y la triangulación de datos estadísticos proveídos por entidades estatales, se recopiló y procesó la información, lo que permitió aportar ejemplos y lineamientos para la inserción de la IA en el contexto estudiado. Por último, se arribó a la conclusión de que, bajo las normas éticas pertinentes, el empleo de las nuevas tecnologías en la enseñanza constituye una herramienta de gran utilidad, además de elevar el nivel de desempeño, tanto de los alumnos como de los docentes.

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Ali, S., DiPaola, D., Lee, I., ... y Breazeal, C. (2021). Children as creators, thinkers and citizens in an AI-driven future. Computers and Education: Artificial Intelligence, 2, 100040. https://doi.org/10.1016/j.caeai.2021.100040

Aly, H. (2022). Digital transformation, development and productivity in developing countries: Is artificial intelligence a curse or a blessing? Review of Economics and Political Science, 7(4), 238–256. https://doi.org/10.1108/REPS-11-2019-0145

Benvenuti, M., Cangelosi, A., Weinberger, A., ... y Orsoni, M. (2023). Artificial intelligence and human behavioral development: A perspective on new skills and competences acquisition for the educational context. Computers in Human Behavior, 148, 107903. https://doi.org/10.1016/j.chb.2023.107903

Bertram, C., Weiss, Z., Zachrich, L., y Ziai, R. (2021). Artificial intelligence in history education. Linguistic content and complexity analyses of student writings in the CAHisT project (Computational assessment of historical thinking). Computers and Education: Artificial Intelligence, 100038. https://doi.org/10.1016/j.caeai.2021.100038

Bhatt, P., y Muduli, A. (2023). Artificial intelligence in learning and development: A systematic literature review. European Journal of Training and Development, 47(7/8), 677–694. https://doi.org/10.1108/EJTD-09-2021-0143

Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068

Bull, G., Garofalo, J., y Hguyen, N. (2020). Thinking about computational thinking: Origins of computational thinking in educational computing. Journal of Digital Learning in Teacher Education, 36(1), 6–18. https://doi.org/10.1080/21532974.2019.1694381

Celik, I. (2023). Exploring the Determinants of Artificial Intelligence (AI) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption. Telematics and Informatics, 83, 102026. https://doi.org/10.1016/j.tele.2023.102026

Chen, X., Xie, H., y Hwang, G. (2020). A multi-perspective study on Artificial Intelligence in Education: Grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, 100005. https://doi.org/10.1016/j.caeai.2020.100005

Chen, X., Xie, H., Zou, D., y Hwang, G. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002

Chiu, T., Xia, Q., Zhou, X., y Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Cope, B., Kalantzis, M., y Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732

Crompton, H., Bernacki, M., y Greene, J. (2020). Psychological foundations of emerging technologies for teaching and learning in higher education. Current Opinion in Psychology, 36, 101–105. https://doi.org/10.1016/j.copsyc.2020.04.011

Crompton, H., Jones, M., y Burke, D. (2022). Affordances and challenges of artificial intelligence in K-12 education: A systematic review. Journal of Research on Technology in Education, 1–21. https://doi.org/10.1080/15391523.2022.2121344

Eberle, C., Löhnert, M., y Stichling, S. (2021). Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review. JMIR mHealth and uHealth, 9(2), e23477. https://doi.org/10.2196/23477

Embarak, O. (2022). Internet of Behaviour (IoB)-based AI models for personalized smart education systems. Procedia Computer Science, 203, 103–110. https://doi.org/10.1016/j.procs.2022.07.015

Fitzpatrick, N. (2020). Questions concerning attention and Stiegler’s therapeutics. Educational Philosophy and Theory, 52(4), 348–360. https://doi.org/10.1080/00131857.2019.1625330

Goldberg, S., Tanana, M., Imel, Z., y Anderson, T. (2021). Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task. Psychotherapy Research, 31(3), 281–288. https://doi.org/10.1080/10503307.2020.1741047

Gómez-Diago, G. (2022). Perspectivas para abordar la inteligencia artificial en la enseñanza de periodismo. Una revisión de experiencias investigadoras y docentes. Revista Latina de Comunicación Social, 80, 29–46. https://doi.org/10.4185/RLCS-2022-1542

Gross, B. (1992). La inteligencia artificial y su aplicación en la enseñanza. Comunicación, Lenguaje y Educación, 4(13), 73–80. https://doi.org/10.1080/02147033.1992.10821001

Grundner, L., y Neuhofer, B. (2021). The bright and dark sides of artificial intelligence: A futures perspective on tourist destination experiences. Journal of Destination Marketing & Management, 19, 100511. https://doi.org/10.1016/j.jdmm.2020.100511

Grzybowski, A., Pawlikowska–Łagód, K., y Lambert, W. (2024). A History of Artificial Intelligence. Clinics in Dermatology, S0738081X23002687. https://doi.org/10.1016/j.clindermatol.2023.12.016

Guan, C., Mou, J., y Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://doi.org/10.1016/j.ijis.2020.09.001

Hernández, J. (2021). La Inteligencia Artificial y la Enseñanza de Lenguas: Una aproximación al tema. Decires, 21(25), 29–44. https://doi.org/10.22201/cepe.14059134e.2021.21.25.3

Hoffmann, C. (2022). Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing. Technology in Society, 68, 101893. https://doi.org/10.1016/j.techsoc.2022.101893

Iglesias López, D. (2023). Impacto de la Inteligencia Artificial en la Radiología. Revista Cubana de Informática Médica, 15(1). http://scielo.sld.cu/scielo.php?pid=S1684-18592023000100013&script=sci_arttext

Kaul, V., Enslin, S., y Gross, S. (2020). History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 92(4), 807–812. https://doi.org/10.1016/j.gie.2020.06.040

Kim, J., Merrill, K., Xu, K., y Sellnow, D. (2020). My Teacher Is a Machine: Understanding Students’ Perceptions of AI Teaching Assistants in Online Education. International Journal of Human–Computer Interaction, 36(20), 1902–1911. https://doi.org/10.1080/10447318.2020.1801227

Kite, V., y Park, S. (2023). What’s Computational Thinking?: Secondary Science Teachers’ Conceptualizations of Computational Thinking (CT) and Perceived Barriers to CT Integration. Journal of Science Teacher Education, 34(4), 391–414. https://doi.org/10.1080/1046560X.2022.2110068

Kopelman-Rubin, D., Mufson, L., Siegel, A., … y Brunstein-Klomek, A. (2021). I can succeed, a new social emotional learning program for children based on interpersonal psychotherapy for adolescents. European Journal of Developmental Psychology, 18(1), 112–130. https://doi.org/10.1080/17405629.2020.1768068

Leach, N. (2022). AI and the limits of human creativity in urban planning and design. En Artificial Intelligence in Urban Planning and Design (pp. 21–37). https://doi.org/10.1016/B978-0-12-823941-4.00013-5

Leidl, D., Ritchie, L., y Moslemi, N. (2020). Blended learning in undergraduate nursing education – A scoping review. Nurse Education Today, 86, 104318. https://doi.org/10.1016/j.nedt.2019.104318

Li, H., Yu, H., Cao, N., Tian, H., y Cheng, S. (2021). Applications of Artificial Intelligence in Oil and Gas Development. Archives of Computational Methods in Engineering, 28(3), 937–949. https://doi.org/10.1007/s11831-020-09402-8

Litvak, M., Miller, K., Boyle, T., … y Goralnick, E. (2022). Telemedicine Use in Disasters: A Scoping Review. Disaster Medicine and Public Health Preparedness, 16(2), 791–800. https://doi.org/10.1017/dmp.2020.473

Lockwood, C., dos Santos, K., y Pap, R. (2019). Practical Guidance for Knowledge Synthesis: Scoping Review Methods. Asian Nursing Research, 13(5), 287–294. https://doi.org/10.1016/j.anr.2019.11.002

Markauskaite, L., Marrone, R., Poquet, O., … y Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3, 100056. https://doi.org/10.1016/j.caeai.2022.100056

Oficina Nacional de Estadística e Información. (2023). Anuario estadístico de Cuba 2022 Educación Edición 2023. Obtenido de Oficina Nacional de Estadística e https://www.onei.gob.cu/educacion-0

Ouyang, F., y Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Rensfeldt, A., y Rahm, L. (2023). Automating Teacher Work? A History of the Politics of Automation and Artificial Intelligence in Education. Postdigital Science and Education, 5(1), 25–43. https://doi.org/10.1007/s42438-022-00344-x

Ribeiro, A. (2021). Revisiting the Chinese Room: Looking for Agency in a World Packed with Archaeological Things. Cambridge Archaeological Journal, 31(3), 533–541. https://doi.org/10.1017/S0959774321000238

Ruiz-Perez, I., y Petrova, D. (2019). Scoping reviews. Another way of literature review. Medicina Clínica (English Edition), 153(4), 165–168. https://doi.org/10.1016/j.medcle.2019.02.026

Su, J., y Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049

Tavakoli, M., Faraji, A., Vrolijk, J., ... y Kismihók, G. (2022). An AI-based open recommender system for personalized labor market driven education. Advanced Engineering Informatics, 52, 101508. https://doi.org/10.1016/j.aei.2021.101508

Theelen, H., Van den Beemt, A., y Brok, P. (2022). Enhancing authentic learning experiences in teacher education through 360-degree videos and theoretical lectures: Reducing preservice teachers’ anxiety. European Journal of Teacher Education, 45(2), 230–249. https://doi.org/10.1080/02619768.2020.1827392

Vidal Ledo, M., Madruga González, A., y Valdés Santiago, D. (2019). Inteligencia artificial en la docencia médica. Educación Médica Superior, 33(3). http://scielo.sld.cu/scielo.php?pid=S0864-21412019000300014&script=sci_arttext

Wang, S., Christensen, C., Cui, W., y Feng, M. (2023). When adaptive learning is effective learning: Comparison of an adaptive learning system to teacher-led instruction. Interactive Learning Environments, 31(2), 793–803. https://doi.org/10.1080/10494820.2020.1808794

Wang, T., y Cheng, E. (2021). An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 2, 100031. https://doi.org/10.1016/j.caeai.2021.100031

Wang, Y. (2021). Artificial intelligence in educational leadership: A symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256–270. https://doi.org/10.1108/JEA-10-2020-0216

Williamson, B., y 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

Yang, S., Ogata, H., Matsui, T., y Chen, N.-S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, 2, 100008. https://doi.org/10.1016/j.caeai.2021.100008

Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3, 100061. https://doi.org/10.1016/j.caeai.2022.100061