Inteligencia artificial en lengua y literatura en la educación. Una revisión sistemática
DOI:
https://doi.org/10.26820/reciamuc/9.(2).abril.2025.231-247Palabras clave:
Inteligencia artificial, Lengua y Literatura, Educación, Revisión sistemática, Sostenibilidad educativaResumen
La integración de la inteligencia artificial (IA) en la enseñanza de Lengua y Literatura ha cobrado relevancia en los últimos años, impulsando nuevas estrategias pedagógicas y transformando los procesos de enseñanza-aprendizaje. Sin embargo, existe una dispersión en los hallazgos sobre su aplicación y efectos educativos. Esta revisión sistemática busca sintetizar la evidencia disponible sobre el uso de la IA en el área de Lengua y Literatura, evaluando sus implicaciones pedagógicas y su aporte a una educación más sostenible y contextualizada. Se aplicó la metodología PRISMA para identificar, seleccionar y analizar estudios empíricos publicados entre 2015 y 2025 en bases de datos académicas internacionales. Se incluyeron artículos revisados por pares que abordaran el uso de herramientas de IA en contextos educativos de enseñanza lingüística y literaria, evaluando su impacto en el aprendizaje, la motivación y la inclusión digital. De los 1.213 registros iniciales, 38 estudios cumplieron con los criterios de inclusión. Los hallazgos revelan que la IA ha sido utilizada principalmente para la retroalimentación automatizada, el análisis textual y la personalización del aprendizaje. Se evidenció una mejora en la comprensión lectora, la producción escrita y la participación estudiantil. No obstante, se reportan desafíos éticos y pedagógicos, así como desigualdades en el acceso tecnológico. La IA representa una herramienta prometedora para enriquecer la enseñanza de Lengua y Literatura. Su aplicación efectiva puede contribuir a una educación más equitativa, adaptativa y ecológicamente informada. Se recomienda desarrollar políticas educativas inclusivas y sustentables que maximicen su potencial.
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Abdullah, T., & Harun, T.M. 2021. AI in English Language Teaching: A Review of Practices in Malaysia. Journal of Educational Technology 12(2): 123-135.
Ahmed, & Ali, M. 2020. Exploring the Role of AI in Enhancing English Vocabulary Acquisition. International Journal of Language Studies 14(3): 45-67.
Almehmadi, W. (2024). Exploring the potential of ai techniques in teaching English as a foreign language: A systematic literature review. Asian Journal of Social Sciences and Management Studies. https://doi.org/10.20448/ajssms.v11i2.5576
AlTwijri, L., & Alghizzi, T. M. (2024). Investigating the Integration of Artificial Intelligence in English as Foreign Language Classes for Enhancing Learners’ Affective Factors: A Systematic Review. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e31053
Article Statistics
Boude, Rozo, J., & González, L. 2023. WordTrek: A digital educational material that contributesto vocabulary learning in higher education. Journal of Educational Research 33(4): 456-472.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., & Amodei, D. 2020. Language models are few-shot learners. Advances in Neural Information Processing Systems 33(1): 1877-1901.
Chen, & Chen, W. (2020). Intelligent tutoring systems and their application in English language learning. Journal of Educational Technology & Society 23(4): 45-57.
Chen, (2023). Integrating a game-based app to enhance translation learners’ engagement, motivation, and performance. Journal of Language Learning Technologies 29(2): 234-250.
Chen, Peng, C., & Tsai, C. (2021). Longitudinal studies on the impact of AI in language education. Educational Research Review 34: 100403.
Crompton, H., Edmett, A., Ichaporia, N., & Burke, D. (2024). AI and English language teaching: Affordances and challenges. Br. J. Educ. Technol., 55, 2503-2529. https://doi.org/10.1111/bjet.13460
España-Delgado, (2023). Kahoot, Quizizz, and Quizalize in the English class and their impact on motivation. Educational Technology & Society 26(1): 112-125.
Garcia, & Torres, M. 2022. AI-Driven Personalized Learning for English Language Learners. International Journal of Learning Technologies 18(3): 87-101.
Hassan, & Wong, Y. 2020. The Role of AI in Language Assessment: Perspectives from Malaysian Educators. Journal of Assessment and Evaluation 22(4): 145-158.
Hockly, N. (2023). Artificial Intelligence in English Language Teaching: The Good, the Bad and the Ugly. RELC Journal, 54, 445 - 451. https://doi.org/10.1177/00336882231168504
Hofmeyr, 2023. Attitudes towards digital game-based language learning among Japanese university students. Language Learning Journal 51(2): 203-220.
Holmes, Bialik, M., & Fadel, C. 2021. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Hri?ák, J. (2024). Pre-service teachers’ perceptions of AI and its impact on literature in English language teaching. CALL for Humanity - EuroCALL 2024 Short Papers. https://doi.org/10.4995/eurocall2024.2024.19097
Khal, M. Z. (2024). Artificial Intelligence in Education: A Systematic Literature Review. Data & Metadata. https://doi.org/10.56294/dm2024288
Kazu, & Kuvvetli, M. 2023. A triangulation method on the effectiveness of digital game-based language learning for vocabulary acquisition. Journal of Computer Assisted Learning 40(1): 34-48.
Kim, & Lee, S. 2023. Using AI to Foster English Speaking Skills among University Students. Asian Journal of Educational Research 12(1): 98-115.
Krishnan, V., & Zaini, H. (n.d.). A Systematic Literature Review on Artificial Intelligence in English Language Education. https://doi.org/10.47772/ijriss.2025.903sedu0002
Kristiawan, D., Bashar, K., & Pradana, D. (2024). Artificial Intelligence in English Language Learning: A Systematic Review of AI Tools, Applications, and Pedagogical Outcomes. The Art of Teaching English as a Foreign Language (TATEFL). https://doi.org/10.36663/tatefl.v5i2.912
Kumar, & Singh, A. 2021. AI-Based Writing Assistants and Their Impact on ESL Learners. International Journal of Applied Linguistics 21(2): 78-92.
Li, Q. (2022). Introduction of Greek Mythological Films into AI-Assisted American Literature Teaching. Lecture Notes in Electrical Engineering. https://doi.org/10.1007/978-981-16-4258-6_86
Liu, W., & Wang, Y. (2024). The Effects of Using AI Tools on Critical Thinking in English Literature Classes Among EFL Learners: An Intervention Study. European Journal of Education. https://doi.org/10.1111/ejed.12804
Liu, Wang, Y., & Xu, Y. 2020. Natural language processing applications in English language learning. Computer Assisted Language Learning 33(5): 456-476.
Luckin, Holmes, W., Griffiths, M., & Forcier, L. B. 2019. Intelligence unleashed: An argument for AI in education. Learning Science and Technology 3(2): 77-89.
Mageira, K., Pittou, D., Papasalouros, A., Kotis, K., Zangogianni, P., & Daradoumis, A. (2022). Educational AI Chatbots for Content and Language Integrated Learning. Applied Sciences. https://doi.org/10.3390/app12073239
Mikeladze, T., & Meijer, P. C. (2024). Exploring the Application of Artificial Intelligence in Foreign Language Education within School Settings: Systematic Literature Review. Journal of Education in Black Sea Region. https://doi.org/10.31578/jebs.v10i1.328
Mokhtar, & Rahim, A. 2021. AI and Its Effectiveness in English Language Learning in Secondary Schools. Journal of Educational Innovations 15(3): 234-250.
Nguyen, & Pham, H. 2022. Impact of AI-Powered Tools on ESL Learning in Higher Education. Journal of Language and Education 18(4): 345-359.
Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024). A systematic review of generative AI for teaching and learning practice. arXiv. https://arxiv.org/abs/2406.09520
Qassrawi, R., & Karasneh, S. (2025). Redefinition of human-centric skills in language education in the AI-driven era. Studies in English Language and Education. https://doi.org/10.24815/siele.v12i1.43082
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed.), 372, n71. https://doi.org/10.1136/bmj.n71
Russell, S., & Norvig, P. 2020. Artificial Intelligence: A Modern Approach. Pearson.
Selvam, V., & Zakaria, N. (2024). A Systematic Literature Review of the Impact of using Artificial Intelligence (AI) Tools in English Language Teaching and Learning. International Journal of Academic Research in Progressive Education and Development. https://doi.org/10.6007/ijarped/v13-i3/22863
Smith, & Johnson, K. 2023. AI in English Language Education: Benefits and Challenges. Journal of Educational Research and Development 25(2): 90-105.
Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Leyton-Brown, K., Parkes, D.C., Press, W., Saxenian, A.,Shah, J., Tambe, M., & Teller, A. (2022(. Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel. Stanford University.
Tanaka, & Yamamoto, H. 2022. AI-Powered Feedback Systems in English Language Learning. Journal of Educational Technology 30(3): 210-225.
Williams, M., Nunn, S. G., & Rice, M. F. 2021. Addressing algorithmic bias in educational technology. Educational Technology Research and Development 69(2): 575-589.
Woo, J. H., & Choi, H. (2021). Systematic review for AI-based language learning tools. arXiv. https://arxiv.org/abs/2111.04455
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gaševi?,D. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review. arXiv. https://arxiv.org/abs/2303.13379
Zawacki-Richter, Marín, V. I., Bond, M., & Gouverneur, F. 2019. Systematic review of research on artificial intelligence applications in higher education: The future of digital learning. International Journal of Educational Technology in Higher Education 16(1): 39.
Zhang, Li, Y., & Zhu, J. 2020. Automated essay scoring: A review of recent advancements and future directions. Journal of Educational Computing Research 58(6): 1151-1175.
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Derechos de autor 2025 Julissa Yadira Vera Torres, Gisella Liliana Alvarado Ferretti

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