Beyond grammar: can AI understand the nuances of academic writing?
On July 4, 2024, the free versions of ChatGPT, Gemini, and Claude were evaluated for their effectiveness in grading technical English assignments in an academic context. The study sought to determine if these AI platforms could serve as reliable grading tools by analyzing their responses to two sets...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | español |
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| Acceso en línea: | http://hdl.handle.net/10017/68377 |
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| Palabra clave: | Instructional design ESP ICT PBL AI Diseño didáctico TIC ABP IA Humanidades Filología hispánica Humanities Spanish philology |
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Beyond grammar: can AI understand the nuances of academic writing?Más allá de la gramática: ¿puede la IA comprender los matices de la escritura académica?Montalbán Martínez, NicolásMontaner Villalba, SalvadorInstructional designESPICTPBLAIDiseño didácticoTICABPIAHumanidadesFilología hispánicaHumanitiesSpanish philologyOn July 4, 2024, the free versions of ChatGPT, Gemini, and Claude were evaluated for their effectiveness in grading technical English assignments in an academic context. The study sought to determine if these AI platforms could serve as reliable grading tools by analyzing their responses to two sets of papers. The first set contained original student submissions written in technical English, while the second consisted of the same papers rewritten in grammatically correct but academically incoherent language. The AI models provided three grading suggestions for each assignment and were also asked to assign a final grade. These AI-generated grades were then compared with the grades given through traditional manual grading by educators. The analysis focused on the consistency of the AI's grading, its alignment with human assessments, and its ability to distinguish between technical precision and overall linguistic coherence. The findings contribute to ongoing discussions about the role of AI in education, particularly in the assessment of academic writing. This study highlights the potential benefits and limitations of using AI as a grading tool, emphasizing the need for further refinement before such systems can be reliably implemented in academic settings.El 4 de julio de 2024, las versiones gratuitas de ChatGPT, Gemini y Claude fueron evaluadas por su efectividad en la calificación de trabajos de inglés técnico en un contexto académico. El estudio buscó determinar si estas plataformas de IA podrían servir como herramientas de calificación fiables analizando sus respuestas a dos conjuntos de trabajos. El primer conjunto contenía entregas originales de estudiantes escritas en inglés técnico, mientras que el segundo consistía en los mismos trabajos reescritos en un lenguaje gramaticalmente correcto pero académicamente incoherente. Los modelos de IA proporcionaron tres sugerencias de calificación para cada trabajo y también se les pidió que asignaran una calificación final. Estas calificaciones generadas por IA fueron entonces comparadas con las calificaciones otorgadas mediante la calificación manual tradicional por educadores. El análisis se centró en la consistencia de la calificación de la IA, su alineación con las evaluaciones humanas y su capacidad para distinguir entre la precisión técnica y la coherencia lingüística global. Los hallazgos contribuyen a las discusiones en curso sobre el papel de la IA en la educación, particularmente en la evaluación de la escritura académica. Este estudio destaca los beneficios y limitaciones potenciales del uso de la IA como herramienta de calificación, enfatizando la necesidad de un refinamiento ulterior antes de que tales sistemas puedan ser implementados de manera fiable en entornos académicos.Servicio de Publicaciones de la Universidad de Alcalá20262026-01-30journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/68377reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/683772026-06-18T11:13:07Z |
| dc.title.none.fl_str_mv |
Beyond grammar: can AI understand the nuances of academic writing? Más allá de la gramática: ¿puede la IA comprender los matices de la escritura académica? |
| title |
Beyond grammar: can AI understand the nuances of academic writing? |
| spellingShingle |
Beyond grammar: can AI understand the nuances of academic writing? Montalbán Martínez, Nicolás Instructional design ESP ICT PBL AI Diseño didáctico TIC ABP IA Humanidades Filología hispánica Humanities Spanish philology |
| title_short |
Beyond grammar: can AI understand the nuances of academic writing? |
| title_full |
Beyond grammar: can AI understand the nuances of academic writing? |
| title_fullStr |
Beyond grammar: can AI understand the nuances of academic writing? |
| title_full_unstemmed |
Beyond grammar: can AI understand the nuances of academic writing? |
| title_sort |
Beyond grammar: can AI understand the nuances of academic writing? |
| dc.creator.none.fl_str_mv |
Montalbán Martínez, Nicolás Montaner Villalba, Salvador |
| author |
Montalbán Martínez, Nicolás |
| author_facet |
Montalbán Martínez, Nicolás Montaner Villalba, Salvador |
| author_role |
author |
| author2 |
Montaner Villalba, Salvador |
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author |
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Instructional design ESP ICT PBL AI Diseño didáctico TIC ABP IA Humanidades Filología hispánica Humanities Spanish philology |
| topic |
Instructional design ESP ICT PBL AI Diseño didáctico TIC ABP IA Humanidades Filología hispánica Humanities Spanish philology |
| description |
On July 4, 2024, the free versions of ChatGPT, Gemini, and Claude were evaluated for their effectiveness in grading technical English assignments in an academic context. The study sought to determine if these AI platforms could serve as reliable grading tools by analyzing their responses to two sets of papers. The first set contained original student submissions written in technical English, while the second consisted of the same papers rewritten in grammatically correct but academically incoherent language. The AI models provided three grading suggestions for each assignment and were also asked to assign a final grade. These AI-generated grades were then compared with the grades given through traditional manual grading by educators. The analysis focused on the consistency of the AI's grading, its alignment with human assessments, and its ability to distinguish between technical precision and overall linguistic coherence. The findings contribute to ongoing discussions about the role of AI in education, particularly in the assessment of academic writing. This study highlights the potential benefits and limitations of using AI as a grading tool, emphasizing the need for further refinement before such systems can be reliably implemented in academic settings. |
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2026 |
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2026 2026-01-30 |
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journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10017/68377 |
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http://hdl.handle.net/10017/68377 |
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Español spa |
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Español |
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spa |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf |
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Servicio de Publicaciones de la Universidad de Alcalá |
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Servicio de Publicaciones de la Universidad de Alcalá |
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reponame:e_Buah Biblioteca Digital Universidad de Alcalá instname:Universidad de Alcalá (UAH) |
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