Envíe este artículo por correo electrónico Sistemas automatizados de aprendizaje de idiomas: perspectivas cognitivo-lingüísticas
Resumen
La transformación actual de la enseñanza de lenguas está impulsada por la adopción generalizada de sistemas automatizados de aprendizaje de idiomas que adaptan la instrucción a las características individuales de los estudiantes, al tiempo que incrementan la motivación y la interacción. La relevancia de este estudio se deriva de la necesidad de mejorar la calidad de la enseñanza de lenguas extranjeras en el contexto de la digitalización de la sociedad, así como de evaluar cómo la infraestructura digital influye en la eficacia de las plataformas lingüísticas inteligentes. El objetivo del estudio es esclarecer la relación entre el nivel de desarrollo del ecosistema educativo digital y la eficacia de los sistemas automatizados de aprendizaje de idiomas. La metodología se basa en el análisis secundario de datos estadísticos internacionales, en revisiones sistemáticas de la literatura y en un análisis comparativo de publicaciones científicas sobre la integración de la inteligencia artificial en la enseñanza de lenguas extranjeras. Los resultados demuestran que una infraestructura digital bien desarrollada amplía significativamente el potencial de los sistemas inteligentes para fomentar las competencias comunicativas y cognitivas, mientras que un bajo nivel de madurez digital limita su impacto en la educación. El estudio propone una visión conceptual de las plataformas lingüísticas inteligentes como herramientas de una educación humanista y personalizada que mejoran la calidad educativa, promueven la inclusión y apoyan la interacción intercultural.
Palabras clave
Texto completo:
PDF (English)Referencias
Bahari, A., Han, F., & Strzelecki, A. 2025. Integrating CALL and AIALL for an interactive pedagogical model of language learning. Educ Inf Technol 30: 14305–14333. https://doi.org/10.1007/s10639-025-13388-w
Balavar, M., Yang, W., Herbert, D., & Yeom, S. 2025. Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models. arXiv. https://doi.org/10.48550/arXiv.2505.02849
Batsurovska, I., Dotsenko, N., Gorbenko, O., Polyansky, P., & Baranova, O. 2024. Application of artificial intelligence in the higher education system. In 2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT), 1–6. IEEE.
https://doi.org/10.1109/csit65290.2024.10982659
Bazaluk, O., Anisimov, O., Saik, P., Lozynskyi, V., Akimov, O., & Hrytsenko, L. 2023. Determining the safe distance for mining equipment operation when forming an internal dump in a deep open pit. Sustainability 15(7): 5912. https://doi.org/10.3390/su15075912
Chen, A., Zhang, Y., Jia, J., Liang, M., Cha, Y., & Lim, C. P. 2025. A systematic review and meta-analysis of AI-enabled assessment in language learning: Design, implementation, and effectiveness. J Comput Assist Learn 41(1): e13064. https://doi.org/10.1111/jcal.13064
Chetveryk, V. K., Veretiuk, T. V., & Kalashnyk, O. V. 2025. Generative artificial intelligence for adapting learning materials in foreign language education. Problems of Modern Transformations. Series: Pedagogy and Psychology (8). https://doi.org/10.54929/2786-9199-2025-8-06-02
Delen, I., Sen, N., Ozudogru, F., & Biasutti, M. 2024. Understanding the growth of artificial intelligence in educational research through bibliometric analysis. Sustainability 16(16): 6724. https://doi.org/10.3390/su16166724
Dou, A., Xu, W., Li, X., Zhang, S., & Zhang, J. 2025. Artificial intelligence in language learning: A systematic review. Int J Distance Educ Technol 23(1). https://doi.org/10.4018/IJDET.385045
Fraillon, J., ed. 2024. An international perspective on digital literacy: Results from ICILS 2023 (ICILS 2023 international report). International Association for the Evaluation of Educational Achievement (IEA). https://www.iea.nl/sites/default/files/2024-11/ICILS_2023_International_Report_0.pdf
Garzón, J., Patiño, E., & Marulanda, C. 2025. Systematic review of artificial intelligence in education: Trends, benefits, and challenges. Multimodal Technol Interact 9(8): 84. https://doi.org/10.3390/mti9080084
Jiao, J., & Shakibaei, G. 2025. AI-assisted language learning for visually impaired learners: Efficiency, perceptions, and challenges. Int J Inclusive Educ: 1–26. https://doi.org/10.1080/13603116.2025.2565404
Katinskaia, A. 2025. An overview of artificial intelligence in computer-assisted language learning. arXiv. https://doi.org/10.48550/arXiv.2505.02032
Kozak, A. V., & Blyzniuk, L. M. 2025. Modern approaches and innovative technologies for forming foreign language communicative competence. Sci Proc Ostroh Acad Natl Univ: Philology Series 25(93): 109–115. https://doi.org/10.25264/2519-2558-2025-25(93)-109-115
Kure, A. E., Brevik, L. M., & Blikstad-Balas, M. 2023. Digital skills critical for education: Video analysis of students' technology use in Norwegian secondary English classrooms. J Comput Assist Learn 39(1): 269–285. https://doi.org/10.1111/jcal.12745
Lai, Y., Saab, N., & Admiraal, W. 2022. Learning strategies in self-directed language learning using mobile technology in higher education: A systematic scoping review. Educ Inf Technol 27: 7749–7780. https://doi.org/10.1007/s10639-022-10945-5
Li, Y., Zhou, X., Yin, H., & Chiu, T. K. F. 2025. Design language learning with artificial intelligence (AI) chatbots based on activity theory from a systematic review. Smart Learn Environ 12: 24. https://doi.org/10.1186/s40561-025-00379-0
Liu, V., Latif, E., & Zhai, X. 2025. Advancing education through tutoring systems: A systematic literature review. arXiv. https://doi.org/10.48550/arXiv.2503.09748
Nguyen, L. A. T., & Habók, A. 2022. Adaptation and validation of a computer-assisted language learning attitude questionnaire in a Vietnamese EFL context: A
comparison between online and paper modes of administration. Heliyon 8(6): e09743. https://doi.org/10.1016/j.heliyon.2022.e09743
OECD. 2023. OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem. OECD Publishing. https://doi.org/10.1787/c74f03de-en
OECD. 2025. The impact of digital technologies on students’ learning: Results from a literature review (OECD Education Working Papers, No. 335). Paris: OECD Publishing.
https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/09/theimpact-of-digital-technologies-on-students-learning_14095366/9997e7b3-en.pdf
Shavarskyi, I., Falshtynskyi, V., Dychkovskyi, R., Akimov, O., Sala, D., & Buketov, V. 2022. Management of the longwall face advance on the stress-strain state of rock mass. Mining Miner Deposits 16(3). https://doi.org/10.33271/mining16.03.078
Son, J.-B., Ružic, N. K., & Philpott, A. 2023. Artificial intelligence technologies and applications for language learning and teaching. J China Comput Assist Lang Learn 1: 94–112. https://doi.org/10.1515/jccall-2023-0015
Strzelecki, A. 2025. ‘As of my last knowledge update’: How is content generated by ChatGPT infiltrating scientific papers published in premier journals? Learned Publ 38(1): e1650. https://doi.org/10.1002/leap.1650
Sun, H., Tan, J., & Lim, M. C. 2025. AI and early language learning: A scoping review. AI Brain Child 1: 4. https://doi.org/10.1007/s44436-025-00005-3
Tian, Z., Sun, M., Liu, A., Sarkar, S., & Liu, J. 2024. Enhancing instructional quality: Leveraging computer-assisted textual analysis to generate in-depth insights from educational artifacts. arXiv. https://doi.org/10.48550/arXiv.2403.03920
Toscu, S. 2025. A systematic review on AI technologies in English as a foreign language education. Sakarya Univ J Educ 15(2): 156–172.
https://doi.org/10.19126/suje.1623401
UNESCO. 2023. Global Education Monitoring Report 2023: Technology in education – A tool on whose terms? Paris: UNESCO.
https://unesdoc.unesco.org/ark:/48223/pf0000385723
United Nations Children’s Fund. 2023. Regional Digital Learning and Transformation of Education Strategy for Europe and Central Asia. Geneva: UNICEF Regional Office for Europe and Central Asia. https://www.unicef.org/eca/media/33221/file/Digital%20Learning%20and%20Transformation%20of%20Education%20Strategy.pdf
Vo, T. K. A. 2025. Transforming language learning with AI: Adaptive systems, engagement, and global impact. Eng Proc 107(1): 7.
https://doi.org/10.3390/engproc2025107007
Wah, J. N. K. 2025. Artificial intelligence in language learning: A systematic review of personalization and learner engagement. Forum Linguist Stud 7(9): 327–341. https://doi.org/10.30564/fls.v7i9.10336
Zhu, M., & Wang, C. 2024. A systematic review of artificial intelligence in language education from 2013 to 2023: Current status and future implications. SSRN Electron J. https://doi.org/10.2139/ssrn.4684304
Zhukevych, I., & Spiricheva, O. 2024. Transformation of foreign language learning: Artificial intelligence as a tool for developing students’ language skills. Int Sci J Educ Linguist 3(3): 45–55. https://doi.org/10.46299/j.isjel.20240303.06
| Se encuentra actualmente indizada en: | |||
 |  |  |  |
|  |
|  |
 |  |
| |
Todos los documentos publicados en esta revista se distribuyen bajo una
Licencia Creative Commons Atribución -No Comercial- Compartir Igual 4.0 Internacional.
Por lo que el envío, procesamiento y publicación de artículos en la revista es totalmente gratuito.