Students’ perceptions of artificial intelligence tools for written english conversation practice
DOI:
https://doi.org/10.62305/alcon.v6i4.1248Palabras clave:
artificial intelligence; English writing; written conversation; higher education; autonomous learningResumen
The study analyzed university students’ perceptions of artificial intelligence tools as support for written English conversation practice. A basic descriptive study was conducted using a quantitative approach, a non-experimental design, and a cross-sectional scope. The participants were 27 fifth-semester students from group B of the Pedagogy of National and Foreign Languages program at Universidad Estatal del Sur de Manabí. Data were collected through a survey, and the instrument was a structured questionnaire with closed-ended Likert-type items. The information was analyzed using descriptive statistics, frequencies, and percentages. The findings showed positive perceptions of artificial intelligence for reducing fear of making mistakes, improving phrases and expressions, supporting autonomous practice, strengthening grammatical and spelling accuracy, and expanding vocabulary. It is concluded that these tools can serve as relevant complementary resources for written English practice when they are integrated with teacher guidance, ethical use, and clear pedagogical criteria.
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Al-khresheh, M. H. (2024). Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching. Computers and Education: Artificial Intelligence, 6, 100218. https://doi.org/10.1016/j.caeai.2024.100218
Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: Insights into efficacy and ENL student preference. International Journal of Educational Technology in Higher Education, 20, 57. https://doi.org/10.1186/s41239-023-00425-2
Fleckenstein, J., Liebenow, L. W., & Meyer, J. (2023). Automated feedback and writing: A multi-level meta-analysis of effects on students’ performance. Frontiers in Artificial Intelligence, 6, 1162454. https://doi.org/10.3389/frai.2023.1162454
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., & Fischer, F. (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
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
Liang, J. C., Hwang, G. J., Chen, M. R. A., & Darmawansah, D. (2023). Roles and research foci of artificial intelligence in language education: An integrated bibliographic analysis and systematic review approach. Interactive Learning Environments, 31(7), 4270-4296. https://doi.org/10.1080/10494820.2021.1958348
Liu, P. L., & Chen, C. J. (2023). Using an AI-based object detection translation application for English vocabulary learning. Educational Technology & Society, 26(3), 5-20. https://doi.org/10.30191/ETS.202307_26(3).0002
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
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of artificial intelligence powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. In Proceedings of the 67th TEFLIN International Virtual Conference & the 9th ICOELT 2021 (pp. 52-57). https://doi.org/10.2991/assehr.k.220201.009
Yu, A., & Trainin, G. (2022). A meta-analysis examining technology-assisted L2 vocabulary learning. ReCALL, 34(2), 235-252. https://doi.org/10.1017/S0958344021000239
Zhai, N., & Ma, X. (2023). The effectiveness of automated writing evaluation on writing quality: A meta-analysis. Journal of Educational Computing Research, 61(4), 875-900. https://doi.org/10.1177/07356331221127300
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Derechos de autor 2026 Revista Científica de Innovación Educativa y Sociedad Actual "ALCON"

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