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2019, Number 1

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Revista Cubana de Informática Médica 2019; 11 (1)

Characterization of the academic performance of medical curriculum “d” students

Santander MAJ, Ruiz VR, Ramírez VR, Fernández RR, Pérez PL
Full text How to cite this article

Language: Spanish
References: 7
Page: 63-74
PDF size: 686.40 Kb.


Key words:

medical curriculum “d”, academic performance, basic biomedical sciences.

ABSTRACT

Objective: To characterize the academic performance of first year medical curriculum “D” students at “10 de Octubre“ and “Salvador Allende” Medical Schools (Havana Medical University).
Methods: A cross-sectional correlational study was carried out from the evaluations obtained by the students of the plan “D” in both faculties during the academic year 2016-2017.
Results: Four main components were detected in the set of evaluative variables of the first year of the degree: Basic Biomedical Sciences, Complementary Disciplines, Physical Education and English Language.
Conclusions: The obtained results corroborate that the Basic Biomedical Sciences constitute for the students of Medical Sciences the main teaching difficulty in the achievement of the objectives proposed by the new curriculum.


REFERENCES

  1. Ministerio de Salud Pública. Universidad de Ciencias Médicas de la Habana. Comisión Nacional de Carrera. Plan de estudios “D”. Carrera de Medicina. La Habana: MINSAP; 2016. Martínez, Judit. Las carreras de ciencias médicas y el plan de estudios “D”. Rev. Med. Electron. Matanzas [Internet] 2017 ene.-feb. [citado 20 May 2019]; 39(1). Disponible en: http: //scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1684-18242017000100018

  2. Pernas Gómez M, Taureaux Díaz N, Sierra Figueredo S, et al. Las ciencias básicas biomédicas en el plan de estudio D de la carrera de Medicina. Educ Med Super [Internet] 2014 abr.-jun. [citado 20 May 2019]; 28(2). Disponible en: http: //scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-21412015000300009

  3. Pernas Gómez M, Taureaux Díaz N, Diego Cobelo JM S, et al. Principales retos para la implantación del plan de estudios “D” en la carrera de Medicina. Educ Med Super [Internet] 2015 lul.-set. [citado 20 May 2019]; 29(3). Disponible en: http: //scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-21412014000200013

  4. Silva Rodríguez M. Pedagogía, tablas de contingencia y validación de hipótesis. En: Colectivo de autores. Metodología de la investigación educacional. Desafíos y polémicas actuales. 1ª ed. La Habana: Félix Varela; 2003. p. 197

  5. Terradez Gurrea M. Análisis de conglomerados [Cluster analysis). [Internet]. 2018 [citado 20 May 2019]. Disponible en: https: //docplayer.es/52813868-Analisis-de-conglomerados-cluster-analysis.html

  6. Beavers AS, Lounsbury JW, Richards JK, Huck SW, Skolits GJ, Esquivel SL. Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research & Evaluation. 2013 [citado 20 May 2019]; 18(6.Disponible en: https: //www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=2126807

  7. Hernández Sampieri R, Fernández-Collado C, Baptista Lucio P. Metodología de la investigación. 5ª ed. México, D.F.: Mc Graw-Hill/Interamericana; 2016. p. 302.




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Revista Cubana de Informática Médica. 2019;11