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| DOI | 10.3390/APP15073882 | ||||
| Año | 2025 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Generative Artificial Intelligence (AI) has transformed personal and professional domains by enabling creative content generation and problem-solving. However, the influence of users' grammatical abilities on AI-generated responses remains unclear. This exploratory study examines how language and grammar abilities in Spanish affect the quality of responses from ChatGPT (version 3.5). Despite the robust performance of Large Language Models (LLMs) in various tasks, they face challenges with grammatical moods specific to non-English languages, such as the subjunctive in Spanish. Higher education students were chosen as participants due to their familiarity with AI and its potential use in learning. The study assessed ChatGPT's ability to process instructions in Chilean Spanish, analyzing how linguistic complexity, grammatical variations, and informal language impacted output quality. The results indicate that varied verbal moods and complex sentence structures significantly influence prompt evaluation, response quality, and response length. Based on these findings, a framework is proposed to guide higher education communities in promoting digital literacy and integrating AI into teaching and learning.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Viveros-Munoz, Rhoddy | - |
Universidad Técnica Federico Santa María - Chile
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| 2 | Carrasco-Saez, Jose | - |
Universidad Técnica Federico Santa María - Chile
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| 3 | Contreras-Saavedra, Carolina | - |
Universidad Católica de la Santísima Concepción - Chile
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| 4 | San-Martin-Quiroga, Sheny | - |
Universidad Técnica Federico Santa María - Chile
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| 5 | Contreras-Saavedra, Carla E. | - |
Universidad San Sebastián - Chile
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| Fuente |
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| ANID Fondecyt |
| ANID FONDECYT POSTDOC |
| ANID Capital humano Beca Doctorado Nacional Foil |
| Agradecimiento |
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| The author R.V.-M. acknowledges support from ANID FONDECYT Postdoc through grant number 3230356. The author C.C.-S. acknowledges support from grant ANID Capital humano Beca Doctorado Nacional Foil 21231752 Project ID 16930. |
| The author R.V.-M. acknowledges support from ANID FONDECYT Postdoc through grant number 3230356. The author C.C.-S. acknowledges support from grant ANID Capital humano Beca Doctorado Nacional Foil 21231752 Project ID 16930. |