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dc.contributor.authorConde González, Miguel Ángel
dc.contributor.authorRomán Gallego, Jesús Ángel 
dc.date.accessioned2025-04-11T08:06:15Z
dc.date.available2025-04-11T08:06:15Z
dc.date.issued2024-06-01
dc.identifier.citationConde, M.Á., Román-Gallego, JÁ. (2024). Do Engineering Students Know How to Use Generative Artificial Intelligence? A Case Study. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14724. Springer, Cham. https://doi.org/10.1007/978-3-031-61691-4_16es_ES
dc.identifier.isbn978-3-031-61691-4
dc.identifier.isbn978-3-031-61690-7
dc.identifier.urihttp://hdl.handle.net/10366/164737
dc.description.abstract[EN]In the context of engineering education, the utilization of generative artificial intelligence (AI) holds significant promise for enhancing learning experiences. This article presents a compelling case study designed to assess the proficiency of engineering students in employing generative AI, particularly focusing on ChatGPT. Students from diverse engineering disciplines and academic levels engage in a knowledge questionnaire, with one group utilizing ChatGPT and the other leveraging unrestricted internet resources. The study not only investigates the effectiveness of generative AI as a learning tool but also explores its impact on problem-solving skills. Towards the end of the questionnaire, students are surveyed using a validated instrument to gauge their perceptions and experiences regarding the use of ChatGPT and generative AI in the realm of engineering education. This research contributes valuable insights into the integration of generative AI as a pedagogical tool, shedding light on its potential to shape the future of engineering instruction.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.subjectArtificial Intelligencees_ES
dc.subjectAIes_ES
dc.subjectGenerativees_ES
dc.subjectEngineering Educationes_ES
dc.titleDo Engineering Students Know How to Use Generative Artificial Intelligence? A Case Studyes_ES
dc.typeinfo:eu-repo/semantics/lecturees_ES
dc.relation.publishversionhttps://doi.org/10.1007/978-3-031-61691-4_16
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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