Didactic alternative to stimulate the creative thinking of teachers and students

Authors

Keywords:

INFERENCIA ESTADÍSTICA, PENSAMIENTO CREATIVO, APRENDIZAJE

Abstract

Background: constantly update the methods, procedures and ways to solve problems, whose solutions constitute stereotypes of the inferential statistics, which do not stimulate the creative thinking of teachers and students in general.
Objective:
to illustrate, through the resolution of problems of inferential statistics, how to stimulate the creative thinking of the Biostatistics professors and the students of the Medicine degree.
Methods:
the theoretical methods used are analysis-synthesis, induction-deduction and abstraction-concretion. Construction of curves of the normal distribution, comprehension processes, explanation and interpretation. Mathematical and statistical methods, procedures and algorithms are applied.
Results:
a didactic alternative is elaborated to stimulate the creative thought of the professors and students of the Medicine degree, which illustrates the importance of the topic: Introduction to the statistical inference. Concepts of random variable, normal distribution, probability, acceptance domain, rejection domain, point estimates, among others, are integrated and systematized.
Conclusions: health situations are created to be faced by the General Practitioner in his professional work that evidences the needs to interpret the errors of first and second gender: α and β. The knowledge and skills related to the concepts addressed in the subject are consolidated: Introduction to Inferential Statistics, through professional computer programs visualize the results achieved, according to modeling and mathematical simulation.

DeCS: CREATIVITY; STUDENTS, MEDICAL; FACULTY; HEALTH STATISTICS; TEACHING MATERIALS.

Downloads

Download data is not yet available.

Author Biography

Luis Alberto Escalona-Fernández, Universidad de Ciencias Médicas Holguín

Licenciado en Educación. Especialidad: Matemática (1982).

Máster en Didactica. Mención en la Enseñanza Superior (1999).

Profesor Auxiliar Departamento Bioestadística y Computacion (2009).

Investigador Agregado (2015)

References

1. MINSAP. Perfeccionamiento del plan de estudio D de la Carrera de Medicina. La Habana: MINSAP; 2016.

2. Centro de Cibernética Aplicada a la Medicina. Informática Médica: Bioestatística. T. II. La Habana: Ciencias Médicas; 2004.

3. De la Horra J. Estadística Aplicada [Internet]. Madrid, España: Editorial Díaz de Santos S.A; 2012 [citado 28 Mar 2018]. Disponible en: https://estadisticaunicaes.files.wordpress.com/2012/05/uned-estadc3adstica-aplicada-julic3a1n-de-la-horra.pdf

4. Efímov A, Korakulin P, Pospélov P, Teréschenko A, Vokólov E, Zemskov V, et al. Problemas de las Matemáticas Superiores. Moscú: Editorial Mir; 2014.

5. Koroliuk V. Manual de la teoría de probabilidades y estadística matemática. Moscú: Editorial Mir; 2016.

6. Fardales Macías V, Diéguez Batista R, Puga García A. Una aproximación a las concepciones que prevalecen en la formación estadística del profesional médico. MediSur [Internet]. 2014 [citado 16 Jun 2016];12(1):[aprox. 9 p.]. Disponible en:

http://www.medisur.sld.cu/index.php/medisur/article/view/2270/1439

7. Calero Hechavarría M, Rodríguez Corona O, Armas Pupo YR, Núñez Rojas Y. Propuesta de tareas docentes para fortalecer el proceso de enseñanza-aprendizaje de la Metodología de la Investigación. CCM [Internet]. 2013 [citado 16 Jun 2016];(1)Supl 1:[aprox. 11 p.]. Disponible en: http://www.revcocmed.sld.cu/index.php/cocmed/article/view/1265/306

8. Swift L, Miles S, Price GM, Shepstone L, Leinster SJ. Do doctors need statistics? Doctors´ use of and attitudes to probability and statistics. Stat Med. 2009;28(15):1969-81.

9. Tavares Paes A. Teaching statistics to physicians: a five-years experience. ICOTS 8. Brasil: Universidade Federal de São Paulo, Instituto Israelita de Ensino e Pesquisa Albert Einstein; 2010 [citado 16 Jun 2016]. Disponible en:

http://iase-web.org/documents/papers/icots8/ICOTS8_10F4_PAES.pdf

10. Herman A, Notzer N, Libman Z, Braunstein R, Steinberg DM. Author ́s Reply: Statistical education for medical students-Concepts are what remain when the details are forgotten. Stat Med. 2008;27(12):2267-72.

11. Numa M, Martín A, Diéguez R, Sánchez A. La formación estadística universitaria orientada a la solución de problemas profesionales. Pedag Univ [Internet]. 2014 [citado 22 Feb 2018];19(1):[aprox. 17 p.]. Disponible en: http://www.cvi.mes.edu/peduniv /index.php/pedu niv

12. Infante Y, Bayés E. Propuesta de un folleto de ejercicios de Bioestadística. Medisan [Internet]. 2016 [citado 2018 Sep 3];20(12):[aprox. 7 p.]. Disponible en: http://www.medisan.sld.cu/index.php/san/article/view/167

13. Zimmermann W, Cunningham S. Visualization in Teaching and Learning Mathematics. Washington: Mathematical Association of America Washington; 1991.

14. Olmedo Canchola VH, Ariza Andraca R. Matemáticas en medicina: una necesidad de capacitación. Med Int Méx [Internet]. 2012 [citado 22 Feb 2018];28(3):[aprox. 4 p.]. Disponible en: http://www.medigraphic.com/pdfs/medintmex/mim-2012/mim123l.pdf

15. Lipkus IM, Peters E. Understanding the role of numeracy in health: proposed theoretical framework and practical insights. Health Educ Behav. 2009;36(6):1065-1081.

Published

2019-01-31

How to Cite

1.
Escalona-Fernández LA, Pérez-Pérez SM. Didactic alternative to stimulate the creative thinking of teachers and students. Arch méd Camagüey [Internet]. 2019 Jan. 31 [cited 2025 Aug. 9];23(1):75-84. Available from: https://revistaamc.sld.cu/index.php/amc/article/view/6113

Issue

Section

Original Articles