Galiana Martínez, MiguelSeguí Gil, LucíaMundi Sancho, IsabelPalau Aloy, José LuisBayonne Sopo, EnriqueGarcía Martínez, Patricia2026-07-302026-07-302026Galiana, M., Seguí, L., Mundi Sancho, I., Palau Aloy, J. L., Bayonne Sopo, E., & García Martínez, P. (2026). Impact of generative artificial intelligence on the performance and competence development of first-year STEAM students. In EDULEARN26 Proceedings (Article 1974). IATED Academy. https://doi.org/10.21125/edulearn.2026.1974978-84-09-88444-52340-1117https://hdl.handle.net/11268/17345This study aims to evaluate the use and perceived impact of GenAI among first-year students enrolled in STEAM degrees at the School of Science, Engineering and Design of Universidad Europea de Valencia. The research focuses on identifying patterns of use, frequency of interaction with AI-based tools, and students’ perceptions regarding their influence on academic performance and competence development. The findings are expected to provide insights into how first-year STEAM students integrate GenAI into their learning practices. These results will support the development of guidelines aimed at promoting responsible and pedagogically meaningful uses of AI in higher education. Furthermore, the study is designed to be extended to subsequent academic years in order to analyse how AI usage evolves throughout students’ university trajectories.engCiencias, ingeniería y diseñoconference output10.21125/edulearn.2026.1974restricted accessEnseñanzaEnseñanza superiorInteligencia artificialGoal 4: Quality educationGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovationGoal 8: Promote inclusive and sustainable economic growth, employment and decent work for all