Perception of the impact of Artificial Intelligence learning on the training of university health students
DOI:
https://doi.org/10.5281/zenodo.15392016Keywords:
learning, diagnosis, artificial intelligence, university students, Health SciencesAbstract
Introduction: Artificial Intelligence (AI) is transforming healthcare, and its impact on the training of future professionals is necessary. Objective: to evaluate the perception of the impact of AI on university students of health sciences. Method: a descriptive, observational, and cross-sectional study was conducted in a population of 1,153 university students of health sciences, resulting in a sample of 561 students from various careers (Nursing, Pharmacy and Biochemistry, Dentistry and Veterinary Medicine and Animal Husbandry) at the National University of San Luis Gonzaga in Ica, Peru. Their perception of the influence of AI in diagnosis, personalized learning, ethics, and the general impact on their training was measured by applying a validated questionnaire of twelve questions on a 5-point Likert scale. The data were analyzed using descriptive statistics and frequency analysis. Results: the majority of students perceived a significant impact of AI on improved diagnosis (65.2%), personalized learning (66.5%), and ethical and legal challenges (76.3%). More than two-thirds considered AI to have a significant impact on their learning. Conclusions: health sciences students at the National University of San Luis Gonzaga in Ica, Peru, have a positive perception of the potential of AI in their education. It is essential to develop educational strategies that effectively integrate AI into the health curriculum.
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Copyright (c) 2025 Carmen Luisa Chauca Saavedra, Maritza Elizabeth Arones Mayuri, Virgilio Cenicio Quispe Nombreras, Santos Humberto Olivera Machado
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