Document

Checklist-based active learning in anatomy demonstration sessions during the COVID-19 pandemic : perception of medical students.

Contributors
Atwa, H., Author
Potu, B. K., Author
Deifalla, A., Author
Fadel, R. A., Author
Publisher
ScienceDirect.
Gregorian
2023
Language
English
English abstract
Human anatomy is an essential component of the medical curricula. Anatomy edu cation has been significantly affected during the COVID-19 pandemic. The aim of this study was to explore student's perceptions on a blended learning approach using Checklist-based Active Learning in Anatomy Demonstration Sessions (CALADS) as a method in comparison to the two previously used methods; namely face-to-face Structured Problem-Related Anatomy Demon strations (SPRAD) and online anatomy learning. A comparative, cross-sectional, survey-based study was conducted. The survey was composed of 13 questions that explored preference of learning anatomy in demonstration sessions of 4th year pre-clerkship students who have had their anatomy learning through face-to-face SPRAD in year 2 (before the COVID-19 pandemic), online in year 3 (during the COVID-19 pandemic), and CALADS method in year 4. Descriptive statistics were used, and the level of significance was set at P < 0.05. The survey exhibited high internal consistency (Cronbach's = 0.953). Validity of the survey was established through exploratory factor analysis. The preferred method for more than half of the students was the CALADS method. Face-to-face SPRAD came next and lastly came the online method. How ever, more students preferred the online method in comparison to face-to-face method for ''learning radiological anatomy''. There were no statistically significant differences between male and female students regarding any of the survey questions. CALADS method, as a hybrid, student-centered, interactive learning method of learning practical anatomy, was preferred by pre-clerkship students as a more effective method in understanding anatomy than face-to-face and online learning methods.
Member of
ISSN
1286-0115
Category
Journal articles

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