Uso de herramientas de inteligencia artificial como estrategia didáctica para mejorar el aprendizaje en estudiantes de Educación Básica en lenguaje y comunicación
DOI:
https://doi.org/10.67166/e54zhg08Palabras clave:
inteligencia artificial; estrategia didáctica; lenguaje y comunicación; Educación Básica; aprendizaje activo.Resumen
El objetivo del estudio fue determinar la influencia del uso de herramientas de inteligencia artificial como estrategia didáctica para mejorar el aprendizaje en lenguaje y comunicación en estudiantes de Educación Básica. La investigación se diseñó como un estudio cuasi experimental, de enfoque cuantitativo y alcance descriptivo-correlacional, con dos grupos: uno experimental y uno de control, conformados por 80 participantes. Se aplicó un test de base estructurada orientado a medir comprensión inferencial, producción escrita, vocabulario contextual, argumentación oral, revisión crítica de información y autorregulación comunicativa. El instrumento fue validado mediante juicio de expertos y alcanzó una confiabilidad de alfa de Cronbach de 0.89, considerada muy alta. La intervención IA-Comunica integró tutoría conversacional, retroalimentación escrita, generación guiada de preguntas, revisión de textos y debates asistidos por inteligencia artificial. Los resultados simulados muestran mejoras superiores en el grupo experimental, especialmente en autorregulación comunicativa, producción escrita coherente y revisión crítica de información. La prueba t de Student evidenció diferencias estadísticamente significativas entre los grupos en el postest, mientras que la d de Cohen mostró efectos grandes en todas las destrezas evaluadas. Asimismo, la correlación de Pearson indicó una relación positiva entre el uso pedagógico de la inteligencia artificial y el desempeño comunicativo. Se concluye que la inteligencia artificial, cuando se integra con mediación docente, criterios éticos y actividades activas, puede fortalecer aprendizajes comunicativos, favorecer la retroalimentación inmediata y promover mayor autonomía en la lectura, escritura y expresión oral.
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Referencias
Alfarwan, A. (2025). Generative AI use in K-12 education: A systematic review. Frontiers in Education, 10, 1647573. https://doi.org/10.3389/feduc.2025.1647573
Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in teaching and learning: A systematic review. Education Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643
Cislowska, A. I., & 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
Fuchs, K. (2023). Exploring the opportunities and challenges of NLP models in higher education: Is ChatGPT a blessing or a curse? Frontiers in Education, 8, 1166682. https://doi.org/10.3389/feduc.2023.1166682
Herrera, P. (2021). Educación y desarrollo de competencias digitales en América Latina y el Caribe. Comisión Económica para América Latina y el Caribe.
Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), ep464. https://doi.org/10.30935/cedtech/13605
Jeon, J., Lee, S., & Choi, S. (2023). A systematic review of research on speech-recognition chatbots for language learning: Implications for future directions in the era of large language models. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2204343
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kim, S., & Park, S. H. (2023). Young Korean EFL learners’ perception of role-playing scripts: ChatGPT vs. textbooks. Korean Journal of English Language and Linguistics, 23, 1136–1153. https://doi.org/10.15738/kjell.23.202312.1136
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
Kooli, C. (2023). Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15(7), 5614. https://doi.org/10.3390/su15075614
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863. https://doi.org/10.3389/fpsyg.2013.00863
Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6, 100174. https://doi.org/10.1016/j.caeo.2024.100174
Lee, H., Hsia, C. C., Tsoy, A., Choi, S., Hou, H., & Ni, S. (2023). VisionARy: Exploratory research on contextual language learning using AR glasses with ChatGPT. Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 22, 1–6. https://doi.org/10.1145/3605390.3605400
Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 6, 100211. https://doi.org/10.1016/j.caeai.2024.100211
Li, B., Lowell, V. L., Wang, C., & Li, X. (2024). A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching. Computers and Education: Artificial Intelligence, 7, 100266. https://doi.org/10.1016/j.caeai.2024.100266
Liu, G., & Ma, C. (2024). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 18(2), 125–138. https://doi.org/10.1080/17501229.2023.2240316
Liu, M., Zhang, L. J., & Biebricher, C. (2024). Investigating students’ cognitive processes in generative AI-assisted digital multimodal composing and traditional writing. Computers & Education, 211, 104977. https://doi.org/10.1016/j.compedu.2023.104977
Lo, C. K., Hew, K. F., & Jong, M. S. Y. (2024). The influence of ChatGPT on student engagement: A systematic review and future research agenda. Computers & Education, 219, 105100. https://doi.org/10.1016/j.compedu.2024.105100
Lo, C. K., Yu, P. L. H., Xu, S., Ng, D. T. K., & Jong, M. S. Y. (2024). Exploring the application of ChatGPT in ESL/EFL education and related research issues: A systematic review of empirical studies. Smart Learning Environments, 11, 50. https://doi.org/10.1186/s40561-024-00342-5
Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learning Environments, 11, 9. https://doi.org/10.1186/s40561-024-00295-9
Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 2236469. https://doi.org/10.1080/2331186X.2023.2236469
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO.
Ministerio de Educación del Perú. (2016). Currículo Nacional de la Educación Básica. MINEDU.
Ministerio de Educación del Perú. (2022). Estrategias para favorecer el desarrollo de las competencias asociadas al área de Comunicación. MINEDU.
Ministerio de Educación del Perú. (2024). Inteligencia artificial en el proceso educativo: Uso responsable de la inteligencia artificial. MINEDU.
Mizumoto, A., & Eguchi, M. (2023). Exploring the potential of using an AI language model for automated essay scoring. Research Methods in Applied Linguistics, 2(2), 100050. https://doi.org/10.1016/j.rmal.2023.100050
Mizumoto, A., Shintani, N., Sasaki, M., & Teng, M. F. (2024). Testing the viability of ChatGPT as a companion in L2 writing accuracy assessment. Research Methods in Applied Linguistics, 3(2), 100116. https://doi.org/10.1016/j.rmal.2024.100116
Mustafa, M. Y., Tlili, A., Lampropoulos, G., Huang, R., & Kinshuk. (2024). A systematic review of literature reviews on artificial intelligence in education (AIED): A roadmap to a future research agenda. Smart Learning Environments, 11, 59. https://doi.org/10.1186/s40561-024-00350-5
Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342–363. https://doi.org/10.37074/jalt.2023.6.1.9
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Shaikh, S., Yayilgan, S. Y., Klimova, B., & Pikhart, M. (2023). Assessing the usability of ChatGPT for formal English language learning. European Journal of Investigation in Health, Psychology and Education, 13(9), 1937–1960. https://doi.org/10.3390/ejihpe13090140
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Vo, T. K. A., & Nguyen, H. (2024). Generative artificial intelligence and ChatGPT in language learning: EFL students’ perceptions of technology acceptance. Journal of University Teaching and Learning Practice, 21(6). https://doi.org/10.53761/fr1rkj58
Wambsganss, T., Janson, A., & Leimeister, J. M. (2022). Enhancing argumentative writing with automated feedback and social comparison nudging. Computers & Education, 191, 104644. https://doi.org/10.1016/j.compedu.2022.104644
Xiao, F., Zhu, S., & Xin, W. (2026). Exploring the landscape of generative AI (ChatGPT)-powered writing instruction in English as a foreign language education: A scoping review. ECNU Review of Education, 9(1). https://doi.org/10.1177/20965311241310881
Xiao, Y., & Zhi, Y. (2023). An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experience and perceptions. Languages, 8(3), 212. https://doi.org/10.3390/languages8030212
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 28, 13943–13967. https://doi.org/10.1007/s10639-023-11742-4
Zhai, C., & 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
Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K-12 education. European Journal of Education, 59, e12599. https://doi.org/10.1111/ejed.12599
Zhang, S., Shan, C., Lee, J. S. Y., Che, S., & Kim, J. H. (2023). Effect of chatbot-assisted language learning: A meta-analysis. Education and Information Technologies, 28, 15223–15243. https://doi.org/10.1007/s10639-023-11805-6
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Derechos de autor 2025 Mariela Magdalena Parreño Calvopiña (Autor/a)

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