Enfermería

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Author: search.filters.author.López Villacrez, Marco DanielSubject: search.filters.subject.EDUCACIÓN EN ENFERMERÍA

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    INTELIGENCIA ARTIFICIAL EN LA EDUCACIÓN EN ENFERMERÍA: OPTIMIZACIÓN DEL APRENDIZAJE Y SUS IMPLICACIONES, UNA REVISIÓN SISTEMÁTICA
    (Universidad Técnica de Ambato/ Facultad de Ciencias de Salud /Carrera de Enfermería, 2024-10-03) López Villacrez, Marco Daniel; Martínez García, Diana Nancy
    Introduction: This research addresses the use of digital tools such as artificial intelligence (AI), to improve the learning of nursing students. AI, created to optimize human tasks, gives us the possibility of streamlining, improving the reliability and precision of multiple activities; however, there is little research on its integration into education. Objective: The objective of this research is to conduct a systematic review to examine the effectiveness and applications of artificial intelligence in optimizing learning among nursing students, and to establish foundations for an innovative learning methodology. Methods: To collect information, a documentary technique will be used, through a systematic review of scientific articles, related to AI and its applications in student learning, to obtain information it will be based on the PRISMA diagram, to the initial search for scientific articles in databases such as: Google Scholar, Pubmed and Scopus. Results: Using the flowchart, 141 full-text articles evaluated for eligibility could be analyzed, selecting a total of 11 articles for review. Conclusions: AI gives the student the possibility of obtaining the most appropriate information according to their needs with just one order, based on scientific evidence with the highest quality and reliability, allowing the student to optimize their work, acquire more knowledge and this is reflected in their academic performance. the same that will later be put into practice in the professional field.