Integración de la Inteligencia Artificial en la Educación Superior: Relevancia para la Inclusión y el Aprendizaje
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Resumen
La Inteligencia Artificial (IA) está revolucionando las estrategias educativas, particularmente en la promoción de entornos que enfatizan la inclusividad y las experiencias de aprendizaje personalizadas. La integración de la IA en los entornos educativos va más allá de la adopción de nuevas tecnologías; implica la reinvención de estrategias pedagógicas para mejorar la accesibilidad y la personalización del aprendizaje para cada estudiante. Esta transformación está respaldada por un creciente cuerpo de investigación que ilumina la naturaleza dual de los beneficios potenciales y los desafíos de la IA dentro del ámbito de la educación superior. Este artículo de revisión profundiza en el panorama evolutivo de la Inteligencia Artificial en la Educación, con un enfoque específico en metodologías de formación y la implementación de la pedagogía y herramientas impulsadas por IA destinadas a mejorar el proceso de aprendizaje. Nuestros hallazgos, basados en una revisión exhaustiva de la literatura, indican que avanzar en la Inteligencia Artificial en la Educación requiere un enfoque equilibrado que armonice la innovación con consideraciones éticas, inclusividad y aplicación práctica. Esta síntesis pretende contribuir a las tendencias tecnológicas educativas destacando la imperativa de adoptar la IA para cultivar experiencias de aprendizaje más inclusivas y efectivamente personalizadas.
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Abgaryan, H., Asatryan, S., & Matevosyan, A. (2023). Revolutionary changes in higher education with artificial intelligence. Main Issues of Pedagogy and Psychology, 10(1), 76-86. https://doi.org/10.24234/miopap.v10i1.454
Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160-1173. https://doi.org/10.1111/bjet.13337
Bozkurt, A., Karadeniz, A., Bañeres, D., & Rodríguez, M. (2021). Artificial intelligence and reflections from educational landscape: A review of ai studies in half a century. Sustainability, 13(2), 800. https://doi.org/10.3390/su13020800
Calatayud, V., Espinosa, M., & Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467
Chai, C., Wang, X., & Xu, C. (2020). An extended theory of planned behavior for the modelling of chinese secondary school students’ intention to learn artificial intelligence. Mathematics, 8(11), 2089. https://doi.org/10.3390/math8112089
Chiu, T., Meng, H., Chai, C., King, I., Wong, S., & Yam, Y. (2022). Creation and evaluation of a pretertiary artificial intelligence (ai) curriculum. IEEE Transactions on Education, 65(1), 30-39. https://doi.org/10.1109/te.2021.3085878
Crompton, H., & Song, D. (2021). The potential of artificial intelligence in higher education. Revista Virtual Universidad Católica Del Norte, 62, 1-4. https://doi.org/10.35575/rvucn.n62a1
Durso, S., & Arruda, E. (2022). Artificial intelligence in distance education: A systematic literature review of brazilian studies. Problems of Education in the 21st Century, 80(5), 679-692. https://doi.org/10.33225/pec/22.80.679
Fornasier, M. (2021). Legal education in the 21st century and the artificial intelligence. Revista Opinião Jurídica (Fortaleza), 19(31), 1-32. https://doi.org/10.12662/2447-6641oj.v19i31.p1-32.2021
Gazquez Linares, J. J., Pérez Fuentes, M. del C., & Suazo Galdames, I. (2023). Embracing the Potential of Artificial Intelligence in Education: Balancing Benefits and Risks. European Journal of Education and Psychology, 16(1), 1–8. https://doi.org/10.32457/ejep.v16i1.2205
Goksel, N., & Bozkurt, A. (2019). Artificial intelligence in education. In 2019: 224-236. https://doi.org/10.4018/978-1-5225-8431-5.ch014
Hannan, E. (2021). Ai: New source of competitiveness in higher education. Competitiveness Review: An International Business Journal Incorporating Journal of Global Competitiveness, 33(2), 265-279. https://doi.org/10.1108/cr-03-2021-0045
Jantakun, T., Jantakun, K., & Jantakoon, T. (2021). A common framework for artificial intelligence in higher education (aai-he model). International Education Studies, 14(11), 94. https://doi.org/10.5539/ies.v14n11p94
Khan, M., & Khojah, M. (2022). Artificial intelligence and big data: The advent of new pedagogy in the adaptive e-learning system in the higher educational institutions of Saudi Arabia. Education Research International, 2022, 1-10. https://doi.org/10.1155/2022/1263555
Köbis, L., & Mehner, C. (2021). Ethical questions raised by ai-supported mentoring in higher education. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.624050
Kulikowski, C. (2022). 50 years of achievements and persistent challenges for biomedical and health informatics and john mantas’ educational and nursing informatics contributions. https://doi.org/10.3233/shti220936
Lainjo, B., & Tsmouche, H. (2023). Impact of artificial intelligence on higher learning institutions. International Journal of Education Teaching and Social Sciences, 3(2), 96-113. https://doi.org/10.47747/ijets.v3i2.1028
Lainjo, B., & Tsmouche, H. (2023). Impact of artificial intelligence on higher learning institutions. International Journal of Education Teaching and Social Sciences, 3(2), 96-113. https://doi.org/10.47747/ijets.v3i2.1028
Li, K., & Wong, B. (2023). Artificial intelligence in personalised learning: A bibliometric analysis. Interactive Technology and Smart Education, 20(3), 422-445. https://doi.org/10.1108/itse-01-2023-0007
Li, Y., & Yang, P. (2023). Higher education worries and response in the era of artificial intelligence. Education. https://doi.org/10.54647/education880398
Liao, Y. (2022). Educational evaluation of piano performance by the deep learning neural network model. Mobile Information Systems, 2022, 1-12. https://doi.org/10.1155/2022/6975824
Luan, H., Géczy, P., Lai, H., Gobert, J., Yang, S., Ogata, H., et al. (2020). Challenges and
future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.580820
Pedró, F. (2020). Applications of artificial intelligence to higher education: Possibilities, evidence, and challenges. Iul Research, 1(1), 61-76. https://doi.org/10.57568/iulres.v1i1.43
Rienties, B., Simonsen, H., & Herodotou, C. (2020). Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning analytics: A need for coherence. Frontiers in Education, 5. https://doi.org/10.3389/feduc.2020.00128
Sadiku, M., Ashaolu, T., Ajayi-Majebi, A., & Musa, S. (2021). Artificial intelligence in education. International Journal of Scientific Advances, 2(1). https://doi.org/10.51542/ijscia.v2i1.2
Sousa, M., Mas, F., Pesqueira, A., Lemos, C., Verde, J., & Cobianchi, L. (2021). The potential of ai in health higher education to increase the students’ learning outcomes. Tem Journal, 488-497. https://doi.org/10.18421/tem102-02
Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 6(3), 355-366. https://doi.org/10.1177/20965311231168423
Suazo Galdames, I. (2023). Chatbots for Promoting Healthy Habits and Scientific Culture. International Journal of Medical and Surgical Sciences, 10(4), 1–4. https://doi.org/10.32457/ijmss.v10i4.2413
Zawacki-Richter, O., Marín, V., 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(1). https://doi.org/10.1186/s41239-019-0171-0
Zheng, R., & Badarch, T. (2022). Research on applications of artificial intelligence in education. American Journal of Computer Science and Technology, 5(2), 72. https://doi.org/10.11648/j.ajcst.20220502.17