Inteligencia artificial para la enseñanza de lenguas extranjeras: innovación, inclusión y retos éticos
Artificial Intelligence for Foreign Language Teaching: Innovation, Inclusion, and Ethical Challenges
Cómo citar
Descargar cita

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Mostrar biografía de los autores
Este estudio explora el impacto de la inteligencia artificial (IA) en la enseñanza de lenguas extranjeras, evaluando su potencial transformador en términos de personalización del aprendizaje, inclusión cultural y preservación lingüística. Mediante una metodología mixta que combina análisis cuantitativo de desempeño lingüístico con observación cualitativa de interacciones en entornos digitales, se identificaron mejoras significativas en la motivación, autonomía y competencias lingüísticas de los estudiantes. Los resultados sugieren que la IA, mediada por prácticas pedagógicas éticas y culturalmente pertinentes, puede democratizar el acceso a la educación y reducir las brechas sociales y culturales. Sin embargo, también emergen desafíos relacionados con los sesgos algorítmicos, la protección de datos y la autonomía docente. Se concluye que la integración efectiva de la IA en la enseñanza de lenguas requiere un enfoque holístico que articule tecnología, ética y mediación pedagógica, consolidando su rol como herramienta inclusiva y transformadora en contextos educativos globalizados.
Visitas del artículo 15 | Visitas PDF 6
Descargas
- Adelani, D., Alabi, J., & Oladipo, O. (2022). Artificial intelligence applications in language learning: Trends and challenges. Journal of Educational Technology, 15(3), 45–63.
- Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
- Byram, M. (1997). Teaching and assessing intercultural communicative competence. Multilingual Matters.
- Camilleri, A. F., & Montebello, M. (2021). AI in education: Ethics, governance and policy. AI & Society, 36(2), 543–555.
- Canagarajah, S. (2006). Understanding linguistic imperialism in the global south. Routledge.
- Canals, L. (2020). AI, education and the future of learning: Challenges and opportunities. Educational Technology Research and Development, 68(5), 2351–2369.
- Crystal, D. (2012). English as a global language (2nd ed.). Cambridge University Press.
- Floridi, L. (2019). The logic of information: A theory of philosophy as conceptual design. Oxford University Press.
- Godwin-Jones, R. (2021). Emerging technologies: AI and language learning. Language Learning & Technology, 25(1), 1–16.
- Holmes, W., & Gee, J. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Springer.
- Kukulska-Hulme, A. (2020). Mobile-assisted language learning [Revised edition]. Cambridge University Press.
- Lantolf, J. P., & Thorne, S. L. (2006). Sociocultural theory and the genesis of second language development. Oxford University Press.
- Leone, M., & Taddeo, M. (2020). Ethics of artificial intelligence and education. AI & Society, 35(1), 129–137.
- Little, D. (2007). Language learner autonomy: Some fundamental considerations revisited. Innovation in Language Learning and Teaching, 1(1), 14–29.
- Loewen, S., Isbell, D., & Sporn, Z. (2019). The effectiveness of AI-driven language instruction. Language Learning Journal, 47(4), 377–393.
- Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL IOE Press.
- Mhlanga, E. (2023). AI and inclusive education: Opportunities and challenges. Computers & Education Open, 4, 100142.
- Ng, W. (2021). Artificial intelligence and education: New frontiers for teaching and learning. Educational Technology Research and Development, 69(1), 1–10.
- Ortega, L. (2020). Understanding second language acquisition (2nd ed.). Routledge.
- Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1–13.
- Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
- UNESCO. (2023). Artificial intelligence in education: Challenges and opportunities. United Nations Educational, Scientific and Cultural Organization.
- Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
- Warschauer, M. (2020). Digital tools and second language learning. In M. Thomas (Ed.), Innovation and digital pedagogy in language learning (pp. 35–52). Routledge.
- Williamson, B., & Eynon, R. (2020). Education governance and datafication. Routledge.
- 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(1), 39.
- Zheng, B., & Warschauer, M. (2021). AI-mediated language learning: Evidence from global contexts. ReCALL, 33(2), 101–120.
