RT Journal Article
T1 Generative AI in the Software Modeling Classroom: An Experience Report With ChatGPT and Unified Modeling Language
A1 Cámara-Moreno, Javier
A1 Troya-Castilla, Javier
A1 Montes-Torres, Julio
A1 Jaime-Rodríguez, Francisco José
K1 Inteligencia artificial
K1 UML (Informática)
AB Formative assessment in software modeling typically involves students solving problems with limited support from instructors or on their own without any automated support. However, the irruption of generative AI chatbots, such as ChatGPT, has entirely changed the landscape in the modeling classroom, triggering the need to re-evaluate how both formative and summative assessments are designed and administered to students. This article describes an experience report on the use of ChatGPT in formative assessment for software modeling in an undergraduate software engineering course. Our study indicates that the use of generative AI chatbots in formative assessment can contribute to effectively gauge learning progress, increase the academic performance of students, compared to a traditional methodology, and also raise student awareness about the tradeoffs of employing generative AI in their work.
PB IEEE / Computer Society
SN 1937-4194
YR 2024
FD 2024-04-08
LK https://hdl.handle.net/10630/45999
UL https://hdl.handle.net/10630/45999
LA eng
NO J. Cámara, J. Troya, J. Montes-Torres and F. J. Jaime, "Generative AI in the Software Modeling Classroom: An Experience Report With ChatGPT and Unified Modeling Language," in IEEE Software, vol. 41, no. 6, pp. 73-81, Nov.-Dec. 2024, doi: 10.1109/MS.2024.3385309
NO La política editorial de IEEE exige un embargo de 24 meses a contar a partir de la fecha de publicación de la versión final. Más información: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 mar 2026