AI-Assisted UML Learning: Toward Ethical Integration of Generative Artificial Intelligence in Software Engineering Education

dc.contributor.authorVázquez-Ingelmo, Andrea
dc.contributor.authorCastillo-Salguero, Cristian Alejandro
dc.contributor.authorGarcía-Peñalvo, Francisco José
dc.contributor.authorConde, Miguel Ángel
dc.contributor.authorGarcía-Holgado, Alicia
dc.contributor.authorTherón, Roberto
dc.date.accessioned2025-07-08T19:42:25Z
dc.date.issued2025-06-11
dc.description.abstractThis paper presents a web-based chatbot platform designed to support the teaching of UML domain modeling in software engineering education. Leveraging locally executed generative AI (DeepSeek-v2), the tool provides students with anonymized, interactive feedback and problem generation capabilities while preserving data privacy and promoting ethical AI use. The platform fosters autonomy, digital literacy, and critical reflection, offering a scalable and sustainable solution for integrating AI into higher education.
dc.identifier.citationEducación, Creatividad e Inteligencia Artificial: nuevos horizontes para el Aprendizaje. Actas del VIII Congreso Internacional sobre Aprendizaje, Innovación y Cooperación. CINAIC 2025 (11-13 de Junio de 2025, Madrid, España)
dc.identifier.isbn978-84-10169-60-9
dc.identifier.urihttps://repositorio.grial.eu/handle/123456789/3185
dc.language.isoen
dc.publisherServicio de Publicaciones Universidad de Zaragoza
dc.subjectArtificial Intelligence
dc.subjectUML
dc.subjectTECHNOLOGY::Information technology::Computer science::Software engineering
dc.titleAI-Assisted UML Learning: Toward Ethical Integration of Generative Artificial Intelligence in Software Engineering Education
dc.title.alternativeAprendizaje de UML Asistido por IA: Hacia una Integración Ética de la Inteligencia Artificial Generativa en la Educación en Ingeniería de Software
dc.typeBook chapter

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