Tecnologías emergentes en la enseñanza de idiomas y algunas consideraciones éticas
Abstract
El objetivo del estudio es analizar el impacto de las tecnologías de procesamiento del lenguaje natural y aprendizaje automático en las prácticas pedagógicas para la enseñanza de idiomas, desde enfoques pedagógicos como el constructivismo, aprendizaje autónomo y aprendizaje basado en problemas, considerando aspectos éticos en la tecnología educativa. Para ello, se revisaron 40 documentos académicos, utilizando un análisis exhaustivo de contenido, con técnicas de análisis temático y codificación para identificar tendencias y patrones emergentes en la literatura revisada. Los resultados muestran que las estrategias basadas en inteligencia artificial promueven la participación activa de los estudiantes en la construcción del conocimiento, destacando cómo tecnologías como los chatbots facilitan la resolución de problemas lingüísticos en el aprendizaje basado en problemas. Asimismo, se observa que el aprendizaje autónomo se beneficia de herramientas de inteligencia artificial, fomentando la autonomía estudiantil y la adaptabilidad en el aprendizaje. Sin embargo, se subraya la importancia de abordar aspectos éticos, como la privacidad de los datos y el sesgo algorítmico. En conclusión, se enfatiza la necesidad de una reflexión crítica y de prácticas responsables en el diseño e implementación de herramientas tecnológicas para garantizar un entorno de aprendizaje ético y equitativo en la enseñanza de idiomas.
Downloads
References
Almelhes, S. A. (2023). A review of artificial intelligence adoption in second-language learning. Theory and Practice in Language Studies, 13(5), 1259-1269. https://doi.org/10.17507/tpls.1305.21
Alshehri, E. (2024). English as a foreign language teachers’ acceptance of using blackboard collaborate ultra in higher education. World Journal of English Language, 14(2), 90-100. https://doi.org/10.5430/wjel.v14n2p90
Ampuero, N. (2022). Enseñanza aprendizaje: Síntesis del análisis conceptual desde el enfoque centrado en procesos. Revista de Ciencias Sociales (Ve), XXVIII(E-6), 126-135. https://doi.org/10.31876/rcs.v28i.38822
Arráez, M., Calles, J., y Moreno, L. (2006). La Hermenéutica: Una actividad interpretativa. Sapiens. Revista Universitaria de Investigación, 7(2), 171-181.
Bărbuleț, G.-D. (2022). Content based learning-task based learning-problem based learning in teaching Romanian language to foreign students. Swedish Journal of Romanian Studies, 5(2), 241-250. https://doi.org/10.35824/sjrs.v5i2.23924
Bin-Hady, W. R. A., Al-Kadi, A., Hazaea, A., y Ali, J. K. M. (2023). Exploring the dimensions of ChatGPT in English language learning: A global perspective. Library Hi Tech. https://doi.org/10.1108/LHT-05-2023-0200
Chamboko-Mpotaringa, M., y Manditereza, B. (2023). Innovative language learning approaches: Immersive technologies and gamification. In G. Kartal (Ed.), Transforming the Language Teaching Experience in the Age of AI (pp. 189-214). IGI Global. https://doi.org/10.4018/978-1-6684-9893-4.ch011
Choi, S., Jang, Y., y Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human-Computer Interaction, 39(4), 910-922. https://doi.org/10.1080/10447318.2022.2049145
Chung, B., y Bong, H. K. M. (2022). A study on the intelligibility of Korean-Accented English: Possibilities of implementing AI applications in English education. Journal of Asia TEFL, 19(1), 197-215. https://doi.org/10.18823/asiatefl.2022.19.1.12.197
Dhanapal, C., Asharudeen, N., y Alfaruque, S. Y. (2024). Impact of Artificial Intelligence versus traditional instruction for language learning: A survey. World Journal of English Language, 14(2), 182-193. https://doi.org/10.5430/wjel.v14n2p182
Divekar, R. R., Drozdal, J., Chabot, S., Zhou, Y., Su, H., Chen, Y., Zhu, H., Hendler, J. A., y Braasch, J. (2022). Foreign language acquisition via artificial intelligence and extended reality: Design and evaluation. Computer Assisted Language Learning, 35(9), 2332-2360. https://doi.org/10.1080/09588221.2021.1879162
Domingo, E. V. (2024). Introducing private online language education: Out-of-the-shadows, technology-powered foreign language teaching. Tesol Journal, 15(1), e731. https://doi.org/10.1002/tesj.731
Dyubele, S., Soobramoney, S., y Heukelman, D. (2020). Using smartphones as constructivist learning tools. International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 2020, pp. 1-8. https://doi.org/10.1109/icABCD49160.2020.9183886
Ghafouri, M. (2024). ChatGPT: The catalyst for teacher-student rapport and grit development in L2 class. System, 120, 103209. https://doi.org/10.1016/j.system.2023.103209
Guo, Y. (2023). A study of English informative teaching strategies based on deep learning. Journal of Mathematics, 2023(1). https://doi.org/10.1155/2021/5364892
Haq, I. U., Anwar, A., Basharat, I., y Sultan, K. (2020). Intelligent Tutoring Supported Collaborative Learning (ITSCL): A hybrid framework. International Journal of Advanced Computer Science and Applications, 11(8), 523-535. https://doi.org/10.14569/IJACSA.2020.0110866
Hof, B. (2021). The turtle and the mouse: How constructivist learning theory shaped artificial intelligence and educational technology in the 1960s. History of Education, 50(1), 93-111. https://doi.org/10.1080/0046760X.2020.1826053
Huang, X., Zou, D., Cheng, G., Chen, X., y Xie, H. (2023). Trends, research issues and applications of Artificial Intelligence in language education. Educational Technology and Society, 26(1), 112-131. https://doi.org/10.30191/ETS.202301_26(1).0009
Ji, H., Han, I., y Ko, Y. (2023). A systematic review of conversational AI in language education: Focusing on the collaboration with human teachers. Journal of Research on Technology in Education, 55(1), 48-63. https://doi.org/10.1080/15391523.2022.2142873
Kemaloglu-Er, E., y Sahin, M. T. (2022). Project-Based Learning in English language teaching at a rural school: A case study from Turkey. Novitas-ROYAL, 16(1), 34-55. https://novitasroyal.org/volume-16-issue-1-april-2022/
Khadimally, S. (2021). Role of the social constructivist theory, andragogy, and Computer-Mediated Instruction (CMI) in adult ESL learning and teaching environments: How students transform into self-directed learners through mobile technologies. In I. Management Association (Ed.), Research Anthology on Adult Education and the Development of Lifelong Learners (pp. 195-221). IGI Global. https://doi.org/10.4018/978-1-7998-8598-6.ch009
Krajka, J., y Olszak, I. (2024). “AI, will you help?” How learners use Artificial Intelligence when writing. XLinguae, 17(1), 34-48. https://doi.org/10.18355/XL.2024.17.01.03
Leng, G., Zhang, G., Xiong, Y.-J., y Chen, J. (2024). CODP-1200: An AIGC based benchmark for assisting in child language acquisition. Displays, 82, 102627. https://doi.org/10.1016/j.displa.2023.102627
Li, Q. (2022). A study on mobile resources for language education of preschool children based on wireless network technology in Artificial Intelligence context. Computational and Mathematical Methods in Medicine, 2022, 6206394. https://doi.org/10.1155/2022/6206394
Lo, N. P.-K. (2023). Digital learning and the ESL online classroom in higher education: Teachers’ perspectives. Asian-Pacific Journal of Second and Foreign Language Education, 8(1), 24. https://doi.org/10.1186/s40862-023-00198-1
Mirzaeian, V. R., y Oskoui, K. (2023). Google Translate in foreign language learning: A systematic review. Applied Research on English Language, 12(2), 45-78. https://ensani.ir/fa/article/550173/google-translate-in-foreign-language-learning-a-systematic-review
Mitra, N., y Banerjee, A. (2023). A Study on Using AI in Promoting English Language Learning. In P. Dutta, S. Chakrabarti, A. Bhattacharya, S. Dutta y C. Shahnaz (Eds.), Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems (Vol. 490, pp. 287-297). Springer. https://doi.org/10.1007/978-981-19-4052-1_30
Montaner, S. (2022). Blogging in action: Teaching English within the project-based learning approach. Computer Assisted Language Learning Electronic Journal (CALL-EJ), 23(1), 63-77. https://old.callej.org/journal/23-1/Montaner-Villalba2022.pdf
Morán, F. E., Morán, F. L., Morán, F. J., y Sánchez, J. A. (2021). Tecnologías digitales en las clases sincrónicas de la modalidad en línea en la Educación Superior. Revista de Ciencias Sociales (Ve), XXVII(3), 317-333. https://doi.org/10.31876/rcs.v27i3.36772
Moslemi, S., Zarei, A. A., y Sarani, A. (2023). Problem-based language learning: Why Aren’t teachers using it? Social Sciences & Humanities Open, 8(1), 100668. https://doi.org/10.1016/j.ssaho.2023.100668
Norouzi, N., Chaturvedi, S., y Rutledge, M. (2020). Lessons learned from teaching machine learning and natural language processing to high school students. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13397-13403. https://doi.org/10.1609/aaai.v34i09.7063
Pack, A., y Maloney, J. (2023). Using generative Artificial Intelligence for language education research: Insights from using OpenAI’s ChatGPT. Tesol Quarterly, 57(4), 1571-1582. https://doi.org/10.1002/tesq.3253
Pikhart, M. (2020). Intelligent information processing for language education: The use of artificial intelligence in language learning apps. Procedia Computer Science, 176, 1412-1419. https://doi.org/10.1016/j.procs.2020.09.151
Programa de las Naciones Unidas para el Desarrollo - PNUD (2024). Objetivo 4: Educación de calidad. PNUD. https://www.undp.org/es/sustainable-development-goals/educacion-calidad
Ran, P., Razak, R. A., y Halili, S. H. (2024). Integration of information and communication technology in teaching English among in-service teachers. International Journal of Evaluation and Research in Education, 13(2), 1235-1241. https://doi.org/10.11591/ijere.v13i2.26347
Salazar, E. H., Macías, E. C., Aquino, M. A., y Vásquez, E. I. (2023). Potential of multimedia resources for English vocabulary improvement. Revista de Ciencias Sociales (Ve), XXIX(E-7), 18-28. https://doi.org/10.31876/rcs.v29i.40444
Sánchez-Chero, M., Flores-Mendoza, L. C., Bruno-Coveñas, P., y Zapata-Periche, I. C. (2024). Impacto del modelo de aprendizaje constructivista en la interpretación del conocimiento en curso virtual de automatización industrial. Revista de Ciencias Sociales (Ve), XXX(E-9), 93-104. https://doi.org/10.31876/rcs.v30i.42250
Satpathy, S., Dash, K. K., y Mohapatra, M. (2020). A study on the new design thinking for industrial revolution 4.0, requirements and graduate readiness. Rupkatha Journal on Interdisciplinary Studies in Humanities, 12(4), 1-11. https://doi.org/10.21659/rupkatha.v12n4.09
Shadiev, R., y Wang, X. (2022). A review of research on technology-supported language learning and 21st Century skills. Frontiers in Psychology, 13, 897689. https://doi.org/10.3389/fpsyg.2022.897689
Shadiev, R., y Yu, J. (2022). Review of research on computer-assisted language learning with a focus on intercultural education. Computer Assisted Language Learning, 37(4), 841-871. https://doi.org/10.1080/09588221.2022.2056616
Shan, X. (2024). The application of cognitive linguistics theory in Japanese language teaching in the age of Artificial Intelligence. Applied Mathematics and Nonlinear Sciences, 9(1), 1-19. https://doi.org/10.2478/amns.2023.2.01338
Shimichev, A. S., y Rotanova, M. B. (2023). Chatbot Technology as an Artificial Intelligence tool in foreign language education. International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), Petrozavodsk, Russian Federation (pp. 97-100). https://doi.org/10.1109/ITQMTIS58985.2023.10346566
Spychała-Wawrzyniak, M. (2023). The constructivist approach and the role of the teacher in the remote teaching of foreign languages: An example from university. Neofilolog, 61(1), 133-148. https://doi.org/10.14746/n.2023.61.1.8
Thinh, N. T., Hai, N. D. X., y Tho, T. P. (2020). The influential role of robot in second language classes based on artificial intelligence. International Journal of Mechanical Engineering and Robotics Research, 9(9), 1306-1311. https://doi.org/10.18178/ijmerr.9.9.1306-1311
Urlaub, P., y Dessein, E. (2022). Machine translation and foreign language education. Frontiers in Artificial Intelligence, 5, 936111. https://doi.org/10.3389/frai.2022.936111
Vaccino-Salvadore, S. (2023). Exploring the ethical dimensions of using ChatGPT in language learning and beyond. Languages, 8(3), 191. https://doi.org/10.3390/languages8030191
Wasson, B., y Kirschner, P. A. (2020). Learning design: European approaches. TechTrends, 64(6), 815-827. https://doi.org/10.1007/s11528-020-00498-0
Wei, W., Lun, M., Yong-An, L., y Qianqian, Q. (2021). An analysis of AI technology assisted English teaching based on the noticing hypothesis. 2nd International Conference on Artificial Intelligence and Education (ICAIE), Dali, China (pp. 158-162). https://doi.org/10.1109/ICAIE53562.2021.00040
Yildiz, M. (2023). Exploring the potential of chatbots and ChatGPT in enhancing vocabulary knowledge. In G. Kartal (Ed.), Transforming the Language Teaching Experience in the Age of AI (pp. 160-188). IGI Global. https://doi.org/10.4018/978-1-6684-9893-4.ch010
Zhang, R., Zou, D., y Cheng, G. (2023). A review of chatbot-assisted learning: Pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions. Interactive Learning Environments, 1-29. https://doi.org/10.1080/10494820.2023.2202704
Zhu, A. (2020). Application of AI identification technology in foreign language education. International Conference on Artificial Intelligence and Education (ICAIE), Tianjin, China (pp. 71-75). https://doi.org/10.1109/ICAIE50891.2020.00024
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.