Literature DB >> 25727466

A puzzle used to teach the cardiac cycle.

Fernanda K Marcondes1, Maria J C S Moura2, Andrea Sanches3, Rafaela Costa3, Patricia Oliveira de Lima3, Francisco Carlos Groppo3, Maria E C Amaral4, Paula Zeni5, Kelly Cristina Gaviao6, Luís H Montrezor7.   

Abstract

The aim of the present article is to describe a puzzle developed for use in teaching cardiac physiology classes. The puzzle presents figures of phases of the cardiac cycle and a table with five columns: phases of cardiac cycle, atrial state, ventricular state, state of atrioventricular valves, and pulmonary and aortic valves. Chips are provided for use to complete the table. Students are requested to discuss which is the correct sequence of figures indicating the phases of cardiac cycle. Afterward, they should complete the table with the chips. Students of biology, dentistry, medicine, pharmacy, and nursing graduation courses from seven institutions performed the puzzle evaluation. They were invited to indicate whether the puzzle had been useful for learning about the subject by filling one of four alternatives. Of the students, 4.6% answered that it was not necessary but helped them to confirm what they had learned, 64.5% reported that although they had previously understood the cardiac cycle, the puzzle helped them to solve doubts and promoted a better understanding of it, and 30.9% said that they needed the puzzle to understand the cardiac cycle, without differences among courses, institutions, and course semesters. The results of the present study suggest that a simple and inexpensive puzzle may be useful as an active learning methodology applied after the theoretical lecture, as a complementary tool for studying cardiac cycle physiology.
Copyright © 2015 The American Physiological Society.

Entities:  

Keywords:  active learning; educational games; graduate education; heart; physiology

Mesh:

Year:  2015        PMID: 25727466     DOI: 10.1152/advan.00116.2014

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


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