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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Abreu, Marcos | - |
| dc.contributor.author | Suárez, Álvaro | - |
| dc.contributor.author | Stari, Cecilia | - |
| dc.contributor.author | Martí, Arturo | - |
| dc.date.accessioned | 2026-05-15T14:29:02Z | - |
| dc.date.available | 2026-05-15T14:29:02Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Abreu, M, Suárez, Á, Stari, C [y otro autor]. "Exploring the potential of ChatGPT for feedback and evaluation in experimental physics" [Preprint]. Publicado en: Physics Education. arXiv:2510.16137, oct. 2025, pp. 1-5. 5 h. DOI: 10.48550/arXiv.2510.16137 | es |
| dc.identifier.uri | https://hdl.handle.net/20.500.12008/55045 | - |
| dc.description.abstract | This study explores how generative artificial intelligence, specifically ChatGPT, can assist in the evaluation of laboratory reports in Experimental Physics. Two interaction modalities were implemented: an automated API-based evaluation and a customized ChatGPT configuration designed to emulate instructor feedback. The analysis focused on two complementary dimensions—formal and structural integrity, and technical accuracy and conceptual depth. Findings indicate that ChatGPT provides consistent feedback on organization, clarity, and adherence to scientific conventions, while its evaluation of technical reasoning and interpretation of experimental data remains less reliable. Each modality exhibited distinctive limitations, particularly in processing graphical and mathematical information. The study contributes to understanding how the use of AI in evaluating laboratory reports can inform feedback practices in experimental physics, highlighting the importance of teacher supervision to ensure the validity of physical reasoning and the accurate interpretation of experimental results. | es |
| dc.format.extent | 5 h | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | en | es |
| dc.publisher | arXiv | es |
| dc.relation.ispartof | Physics Education, arXiv:2510.16137, oct. 2025, pp. 1-5. | es |
| dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.subject | AI in education | es |
| dc.subject | Lab report evaluation | es |
| dc.subject | Physics education | es |
| dc.title | Exploring the potential of ChatGPT for feedback and evaluation in experimental physics | es |
| dc.type | Preprint | es |
| dc.contributor.filiacion | Abreu Marcos, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física. | - |
| dc.contributor.filiacion | Suárez Álvaro, ANEP | - |
| dc.contributor.filiacion | Stari Cecilia, ANEP | - |
| dc.contributor.filiacion | Martí Arturo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física. | - |
| dc.rights.licence | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
| dc.identifier.doi | 10.48550/arXiv.2510.16137 | - |
| Aparece en las colecciones: | Publicaciones académicas y científicas - Facultad de Ciencias | |
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| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| arXiv.2510.16137.pdf | 275,99 kB | Adobe PDF | Visualizar/Abrir |
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