Optimización de los sistemas de diálogo basados en IA para el aprendizaje de idiomas en Kazajistán
un enfoque lingüístico
DOI:
https://doi.org/10.18172/cif.6714Palabras clave:
pronunciación, morfología, unidades sintácticas, aprendizaje basado en chatbots, IA multilingüeResumen
El objetivo de este estudio fue investigar los procesos relacionados con el desarrollo y la optimización de chatbots en conformidad con las normas lingüísticas. A través de un análisis lingüístico, se examinaron las principales características del uso de chatbots, prestando especial atención a los rasgos lingüísticos del idioma kazajo en el contexto de la enseñanza del inglés. Las etapas del desarrollo de los chatbots incluyen el análisis de las necesidades del usuario, el diseño conceptual y estructural, la preparación de materiales de aprendizaje, la integración multimedia, las pruebas, la personalización, el análisis de retroalimentación, la mejora de algoritmos y la integración en plataformas. Los pasos de optimización abarcan el análisis de datos de los usuarios (solicitudes, errores), el perfeccionamiento del procesamiento del lenguaje natural (PLN), la entrega adaptativa de contenido, el monitoreo del rendimiento y el perfeccionamiento continuo. Una encuesta a 50 estudiantes de dos escuelas-gimnasio kazajas reveló que Duolingo fue preferido para la fonética (43% y 41%), la gramática (53% y 59%) y el vocabulario (48% y 39%). Mondly y HelloTalk fueron preferidos para la sintaxis (36-39%), mientras que Mondly, HelloTalk y Tandem resultaron más eficaces para la construcción del discurso coherente (35-46%). Estos resultados destacan las distintas fortalezas de los chatbots en diferentes dominios lingüísticos. La optimización de chatbots en idioma kazajo, como Soyle Bot, Bilim Class y Qazaq Grammar Chat, requiere tener en cuenta la estructura aglutinante, la riqueza morfológica y los sistemas duales de alfabetos (latino y cirílico). Las estrategias eficaces incluyen la gamificación, la integración multimedia, la localización de contenido, la alineación con los estándares educativos y la personalización.
Descargas
Citas
AGARWAL, S., JEZABEK, J., BISWAS, A., BARUT, E., GAO, B., and CHUNG, T. (2022). “Building goal-directed dialog systems with situated visual context”. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13149-13151. https://doi.org/10.1609/aaai.v36i11.21710 DOI: https://doi.org/10.1609/aaai.v36i11.21710
BIBAUW, S., FRANСOIS, T., and DESMET, P. (2022). “Dialogue systems for language learning: Chatbots and beyond”. In N. Ziegler and M. González-Lloret (eds.), The Routledge Handbook of Second Language Acquisition and Technology. New York: Routledge, pp. 121-134. https://doi.org/10.4324/9781351117586 DOI: https://doi.org/10.4324/9781351117586-12
BINHAMMAD, M. H. Y., OTHMAN, A., ABULJADAYEL, L., AL MHEIRI, H., ALKAABI, M., and ALMARRI, M. (2024). “Investigating advanced generative dialogue systems for educational chatbots”. Creative Education, 15, 1593-1626. https://doi.org/10.4236/ce.2024.158096 DOI: https://doi.org/10.4236/ce.2024.158096
BRABRA, H., BAEZ, M., BENATALLAH, B., GAALOUL, W., and BOUGUELIA, S. (2022). “Dialogue management in conversational systems: A review of approaches, challenges, and opportunities”. IEEE Transactions on Cognitive and Developmental Systems, 14(3), 783-798. https://doi.org/10.1109/TCDS.2021.3086565 DOI: https://doi.org/10.1109/TCDS.2021.3086565
CAI, P., WAN, H., LIU, F., YU, M., YU, H., and JOSHI, S. (2022). “Learning as conversation: Dialogue systems reinforced for information acquisition”. In M. Carpuat, M.-C. de Marneffe and I. V. M. Ruiz (eds.), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle: Association for Computational Linguistics, pp. 4781-4796. https://aclanthology.org/2022.naacl-main.352.pdf DOI: https://doi.org/10.18653/v1/2022.naacl-main.352
CALDARINI, G., JAF, S., and MCGARRY, K. (2022). “A literature survey of recent advances in chatbots”. Information, 13(1), 41. https://www.doi.org/10.3390/info13010041 DOI: https://doi.org/10.3390/info13010041
California Consumer Privacy Act. (2024). https://oag.ca.gov/privacy/ccpa
CHEN, K., SHAO, A., BURAPACHEEP, J., and LI, Y. (2024). “Conversational AI and equity through assessing GPT-3’s communication with diverse social groups on contentious topics”. Scientific Reports, 14, 1561. https://doi.org/10.1038/s41598-024-51969-w DOI: https://doi.org/10.1038/s41598-024-51969-w
CISLOWSKA, A. I., and PENA-ACUNA, B. (2024). “Integration of chatbots in additional language education: A systematic review”. European Journal of Educational Research, 13(4), 1607-1625. https://doi.org/10.12973/eu-jer.13.4.1607 DOI: https://doi.org/10.12973/eu-jer.13.4.1607
DASHKO, Y. (2023). “Information technologies in the educational process: Features and advantages”. Pedagogical Sciences, 6(2), 46-51. https://doi.org/10.33989/2524-2474.2023.82.295094 DOI: https://doi.org/10.33989/2524-2474.2023.82.295094
DIACHUK, O. (2024). “Adapting curricula to the requirements of the modern digital environment”. Professional Education: Methodology, Theory and Technologies, 10(1), 10-21. https://doi.org/10.69587/pemtt/1.2024.10 DOI: https://doi.org/10.69587/pemtt/1.2024.10
DUBOVYK, O. (2024). “Innovations in ESP teaching and learning practices”. Humanities Studios: Pedagogy, Psychology, Philosophy, 12(4), 23-33. https://doi.org/10.31548/hspedagog/4.2024.23 DOI: https://doi.org/10.31548/hspedagog/4.2024.23
DURO, R., and KONDRATENKO, Y. (2015). Advances in Intelligent Robotics and Collaborative Automation. River Publishers. https://doi.org/10.13052/rp-9788793237049 DOI: https://doi.org/10.13052/rp-9788793237049
FENG, C., BOTHA, E., and PITT, L. (2024). “From HAL to GenAI: Optimizing chatbot impacts with CARE”. Business Horizons, 67(5), 537-548. https://doi.org/10.1016/j.bushor.2024.04.012 DOI: https://doi.org/10.1016/j.bushor.2024.04.012
FUJII, A., JOKINEN, K., OKADA, K., and INABA, M. (2022). “Development of dialogue system architecture toward co-creating social intelligence when talking with a partner robot”. Frontiers in Robotics and AI, 9, 933001. https://doi.org/10.3389/frobt.2022.933001 DOI: https://doi.org/10.3389/frobt.2022.933001
General Data Protection Regulation. (2016). https://gdpr-info.eu/
GOLOVACH, L. (2023). “Self-training of future skilled workers using innovative learning technologies in the educational process”. Ukrainian Professional Education, 8(2), 158-166. https://doi.org/10.33989/2519-8254.2023.14.300701 DOI: https://doi.org/10.33989/2519-8254.2023.14.300701
HOANG, N. T., NGOC HAN, D., and LE, D. H. (2023). “Learning AI chatbot to improve English pronunciation of vocational school students”. AsiaCALL Online Journal, 14(2), 140-155. https://doi.org/10.54855/acoj.231429 DOI: https://doi.org/10.54855/acoj.231429
IBATOV, M. K., PAK, Y. N., ZHETESOVA, G. S., and PAK, D. Y. (2021). “Development of entrepreneurial university in the conditions of higher education modernization”. Vysshee Obrazovanie V Rossii, 30(2), 154-168. https://doi.org/10.31992/0869-3617-2021-30-2-154-168 DOI: https://doi.org/10.31992/0869-3617-2021-30-2-154-168
JANNACH, D., and CHEN, L. (2022). “Conversational recommendation: A grand AI challenge”. Al Magazine, 43(2), 151-163. https://doi.org/10.1002/aaai.12059 DOI: https://doi.org/10.1002/aaai.12059
JEROME, C., SU HIE, T., TAIBI, M., and ALBERT ABELL, F. (2025). “Reconsidering Students’ Voices in English Language Education Reform: A Case of a Malaysian Public University”. International Journal of Educational Reform. https://doi.org/10.1177/10567879251331216 DOI: https://doi.org/10.1177/10567879251331216
KADYRBEK, N., MANSUROVA, M., SHOMANOV, A., and MAKHAROVA, G. (2023). “The development of a Kazakh speech recognition model using a convolutional neural network with fixed character level filters”. Big Data and Cognitive Computing, 7(3), 132. https://doi.org/10.3390/bdcc7030132 DOI: https://doi.org/10.3390/bdcc7030132
KAMALOV, F., CALONGE, D. S., and GURRIB, I. (2023). “New era of Artificial Intelligence in education: Towards a sustainable multifaceted revolution”. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451 DOI: https://doi.org/10.3390/su151612451
KAPOOR, G., CHAHAL, A., SHARMA, N., KAUR, S., and HENDRIK, H. (2025). “Electronic-learning: Friend or Foe”. International Journal of Educational Reform, 34(2), 405-415. https://doi.org/10.1177/10567879221140095 DOI: https://doi.org/10.1177/10567879221140095
KARTAL, G., and YESILYURT, Yu. E. (2024). “A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022”. ReCALL, 36(3), 359-375. https://doi.org/10.1017/S0958344024000077 DOI: https://doi.org/10.1017/S0958344024000077
KEMELBEKOVA, Z., DEGTYAREVA, X., YESSENAMAN, S., and ISMAILOVA, D. (2024). “AI in teaching English as a foreign language: Effectiveness and prospects in Kazakh higher education”. XLinguae, 17(1), 69-83. http://dx.doi.org/10.18355/XL.2024.17.01.05 DOI: https://doi.org/10.18355/XL.2024.17.01.05
KOKAREVA, A. (2023). “Terminological analysis of the main definitions of stem-education”. Pedagogical Sciences, 6(2), 82-86. https://doi.org/10.33989/2524-2474.2023.82.295105 DOI: https://doi.org/10.33989/2524-2474.2023.82.295105
KONDRATENKO, Y. P., and KONDRATENKO, N. Y. (2015). “Soft computing analytic models for increasing the efficiency of fuzzy information processing in decision support systems”. In R. Hudson (eds.), Decision-Making: Processes, Behavioral Influences and Role in Business Management. Hauppauge: Nova Science Publishers, pp. 41-77.
LEE, H., and JEONG, O. (2023). “A knowledge-grounded task-oriented dialogue system with hierarchical structure for enhancing knowledge selection”. Sensors, 23(2), 685. https://doi.org/10.3390/s23020685 DOI: https://doi.org/10.3390/s23020685
LIN, Ch.-Ch., HUANG, A. Y. Q., and YANG, S. J. H. (2023). “A review of ai-driven conversational chatbots implementation methodologies and challenges (1999-2022)”. Sustainability, 15(5), 4012. https://doi.org/10.3390/su15054012 DOI: https://doi.org/10.3390/su15054012
NAGIMZHANOVA, K. M., BAIMANOVA, L., MAGAVIN, S. SH., ADZHIBAEVA, B. ZH., and BETKENOVA, M. S. (2019). “Basis of psychological and professional personality development of future educational psychologists”. Periodico Tche Quimica, 16(33), 351-368. DOI: https://doi.org/10.52571/PTQ.v16.n33.2019.366_Periodico33_pgs_351_368.pdf
NI, J., YOUNG, T., PANDELEA, V., XUE, F., and CAMBRIA, E. (2023). “Recent advances in deep learning based dialogue systems: A systematic survey”. Artificial Intelligence Review, 56, 3055-3155. https://doi.org/10.1007/s10462-022-10248-8 DOI: https://doi.org/10.1007/s10462-022-10248-8
NSAIF, W. S., SALIH, H. M., SALEH, H. H., and AL-NUAIMI, B. T. (2024). “Chatbot development: Framework, platform, and assessment metrics”. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 27, 50-62. http://dx.doi.org/10.55549/epstem.1518314 DOI: https://doi.org/10.55549/epstem.1518314
NURAKENOVA, A., and NAGYMZHANOVA, K. (2024). “A Study of Psychological Features Related to Creative Thinking Styles of University Students”. Journal of Psycholinguistic Research, 53(1), 1. https://doi.org/10.1007/s10936-024-10042-3 DOI: https://doi.org/10.1007/s10936-024-10042-3
ORTIZ-GARCES, I., GOVEA, J., ANDRADE, R. O., and VILLEGAS-CH., W. (2024). “Optimizing chatbot effectiveness through advanced syntactic analysis: A comprehensive study in natural language processing”. Applied Sciences, 14(5), 1737. https://doi.org/10.3390/app14051737 DOI: https://doi.org/10.3390/app14051737
PATEL, U. (2023). “7 powerful chatbots for language learning”. https://www.tristatetechnology.com/blog/best-language-learning-chatbot-apps
PORWOL, L., PEREIRA, A. G., and DUMAS, C. (2022). “Transforming e-participation: VR-dialogue – building and evaluating an AI-supported framework for next-gen VR-enabled e-participation research”. Transforming Government: People, Process and Policy, 17(2), 233-250. https://doi.org/10.1108/TG-12-2021-0205 DOI: https://doi.org/10.1108/TG-12-2021-0205
PROKHORCHUK, O. (2023). “Application of artificial intelligence in teaching disciplines of the humanities cycle”. Humanities Studios: Pedagogy, Psychology, Philosophy, 11(1), 79-84. https://doi.org/10.31548/hspedagog14(1).2023.79-84 DOI: https://doi.org/10.31548/hspedagog14(1).2023.79-84
RIZNYK, V., and RIZNYK, N. (2024). “Methodological aspects of using artificial intelligence in the preparation of future vocational education specialists”. Professional Education: Methodology, Theory and Technologies, 10(2), 103-114. https://doi.org/10.69587/pemtt/2.2024.103 DOI: https://doi.org/10.69587/pemtt/2.2024.103
RYBCHYNSKA, A. (2023). “Development of communication skills through the introduction of interactive teaching methods in English lessons”. Scientific Bulletin of Mukachevo State University. Series “Pedagogy and Psychology”, 9(2), 9-17. https://doi.org/10.52534/msu-pp2.2023.09 DOI: https://doi.org/10.52534/msu-pp2.2023.09
SNIHOVSKA, O. (2023). “Principles of linguistic and cultural approach in foreign language training of future specialists”. Ukrainian Professional Education, 8(2), 44-56. https://www.researchgate.net/publication/380600446_PRINCIPLES_OF_LINGUISTIC_AND_CULTURAL_APPROACH_IN_FOREIGN_LANGUAGE_TRAINING_OF_FUTURE_SPECIALISTS DOI: https://doi.org/10.33989/2519-8254.2023.14.300216
SON, J.-B., RUZIC, N. K., and PHILPOTT, A. (2023). “Artificial intelligence technologies and applications for language learning and teaching”. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2023-0015 DOI: https://doi.org/10.1515/jccall-2023-0015
SPASKA, A., KOZUB, H., ABYLASYNOVA, G., KOZUB, V., and KOVAL, Y. (2025). “Evaluation of innovative teaching methods using modern information technologies”. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(1), 422-440. https://doi.org/10.22437/jiituj.v9i1.38107 DOI: https://doi.org/10.22437/jiituj.v9i1.38107
WIBOOLYASARIN, W., WIBOOLYASARIN, K., TIRANANT, Ph., BOONYAKITANONT, P., and JINOWAT, N. (2024). “Designing chatbots in language classrooms: An empirical investigation from user learning experience”. Smart Learning Environments, 11, 32. https://doi.org/10.1186/s40561-024-00319-4 DOI: https://doi.org/10.1186/s40561-024-00319-4
XIAO, Yu., ZHANG, T., and HE, J. (2024). “The promises and challenges of AI-based chatbots in language education through the lens of learner emotions”. Heliyon, 10(18), e37238. https://doi.org/10.1016/j.heliyon.2024.e37238 DOI: https://doi.org/10.1016/j.heliyon.2024.e37238
ZHAI, Ch., and WIBOWO, S. (2023). “A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university”. Computers and Education: Artificial Intelligence, 4, 100134. https://doi.org/10.1016/j.caeai.2023.100134 DOI: https://doi.org/10.1016/j.caeai.2023.100134
ZHAI, Ch., WIBOWO, S., and LI, L. D. (2024a). “Evaluating the AI dialogue System’s intercultural, humorous, and empathetic dimensions in English language learning: A case study”. Computers and Education: Artificial Intelligence, 7, 100262. https://doi.org/10.1016/j.caeai.2024.100262 DOI: https://doi.org/10.1016/j.caeai.2024.100262
ZHAI, Ch., WIBOWO, S., and LI, L. D. (2024b). “The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review”. Smart Learning Environments, 11, 28. https://doi.org/10.1186/s40561-024-00316-7 DOI: https://doi.org/10.1186/s40561-024-00316-7
ZHANG, Y., LAU, R. Y. K., XU, J. D., RAO, Ya., and LI, Yu. (2024). “Business chatbots with deep learning technologies: State-of-the-art, taxonomies, and future research directions”. Artificial Intelligence Review, 57, 113. https://doi.org/10.1007/s10462-024-10744-z DOI: https://doi.org/10.1007/s10462-024-10744-z
ZHANG, Zh., and HUANG, X. (2024). “The impact of chatbots based on large language models on second language vocabulary acquisition”. Heliyon, 10(3), e25370. https://doi.org/10.1016/j.heliyon.2024.e25370 DOI: https://doi.org/10.1016/j.heliyon.2024.e25370
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2026 Zhazira Zhauynshiyeva, Balzhan Agabekova, Gulmira Mirkenova, Dariga Ismailova, Zhaxylyk Oralkanova

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
El autor o autora conserva todos los derechos sobre su artículo y cede a la revista el derecho de la primera publicación, no siendo necesaria la autorización de la revista para su difusión una vez publicado. Una vez publicada la versión del editor el autor está obligado a hacer referencia a ella en las versiones archivadas en los repositorios personales o institucionales.
El artículo se publicará con una licencia Creative Commons de Atribución, que permite a terceros utilizar lo publicado siempre que se mencione la autoría del trabajo y la primera publicación en esta revista.
Se recomienda a los autores/as el archivo de la versión de editor en repositorios institucionales.





