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Learning musculoskeletal anatomy through new technologies: a randomized clinical trial

OBJECTIVE: to investigate the influence of the application of new methodologies on learning and the motivation of students of the Anatomy discipline. METHOD: randomized, longitudinal, prospective, intervention study. Sixty-two students were recruited to assess the impact of different methodologies....

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Detalles Bibliográficos
Autores principales: Rodríguez-López, Elena Sonsoles, Calvo-Moreno, Sofía Olivia, Fernández-Pola, Eduardo Cimadevilla, Fernández-Rodríguez, Tomás, Guodemar-Pérez, Jesús, Ruiz-López, Montserrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426145/
https://www.ncbi.nlm.nih.gov/pubmed/32813780
http://dx.doi.org/10.1590/1518-8345.3237.3281
Descripción
Sumario:OBJECTIVE: to investigate the influence of the application of new methodologies on learning and the motivation of students of the Anatomy discipline. METHOD: randomized, longitudinal, prospective, intervention study. Sixty-two students were recruited to assess the impact of different methodologies. The sample was randomized to compare the results of teaching with a 3D atlas, ultrasound and the traditional method. The parameters were assessed through a satisfaction evaluation questionnaire and anatomical charts. Repeated measures ANOVA was used to determine statistical significance. RESULTS: in terms of the usefulness of the seminars, 98.1% of the students considered them to be very positive or positive, stating that they had stimulated their interest in anatomy. The students who learned with the 3D atlas improved their understanding of anatomy (p=0.040). In general, the students improved their grades by around 20%. CONCLUSION: the traditional method combined with new technologies increases the interest of students in human anatomy and enables them to acquire skills and competencies during the learning process.