Mayor Silva, Luis IvánMoreno Pimentel, Antonio GabrielHernández Martín, Marta MaríaMoreno Muñoz, GuillermoMaté Muñoz, José LuisMeneses Monroy, Alfonso2026-02-172026-02-172025-08-14Mayor-Silva, L. I., Moreno-Pimentel, A. G., Hernández-Martín, M. M., Moreno, G., Maté-Muñoz, J. L., & Meneses-Monroy, A. (2026). Comparison between the traditional study method and AI use in the analysis of an occupational risk prevention law in Nursing students: An experimental study. Teaching and Learning in Nursing, 21(1), e102-e108. https://doi.org/10.1016/J.TELN.2025.08.0181557-308710.1016/J.TELN.2025.08.018https://hdl.handle.net/20.500.14352/1325292025 Acuerdos transformativos CRUEBackground: The efficacy of artificial intelligence (AI) in enhancing university learning remains unproven. Aim: The aim of this study was to compare the impact of AI tools with that of traditional, text-based study methods on undergraduate nursing students' learning of legal content related to the prevention of occupational risk. Methods: Experimental study in which students were randomly assigned to two groups: one utilized AI tools, and the other employed traditional text reading methods. Both groups completed an objective multiple-choice questionnaire and a subjective self-assessment before and after the intervention. The objective questions assessed four cognitive domains: knowledge, comprehension, analysis, and application. Results: Both groups improved their overall knowledge levels (p < 0.001), with the control group exhibiting a more pronounced improvement (p = 0.002). The control group demonstrated superior performance in the knowledge-based questions (p = 0.001). However, no significant differences were observed in comprehension, analysis, or application. Conclusions: Conventional study methods provide superior knowledge acquisition in comparison to AI methods. The use of AI did not improve critical thinking skills, such as understanding or application.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/journal article1557-2013https://doi.org/10.1016/J.TELN.2025.08.018https://www.sciencedirect.com/science/article/pii/S1557308725002513open access616-083Artificial IntelligenceEducationOccupational risk preventionNursing studentsEnfermeríaMedicina del trabajoPsicología de la educación (Psicología)32 Ciencias Médicas5802 Organización y Planificación de la Educación