Online dissection audio-visual resources for human anatomy: Undergraduate medical students' usage and learning outcomes.

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ID: 82141
2016
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Abstract
In an attempt to improve undergraduate medical student preparation for and learning from dissection sessions, dissection audio-visual resources (DAVR) were developed. Data from e-learning management systems indicated DAVR were accessed by 28% ± 10 (mean ± SD for nine DAVR across three years) of students prior to the corresponding dissection sessions, representing at most 58% ± 20 of assigned dissectors. Approximately 50% of students accessed all available DAVR by the end of semester, while 10% accessed none. Ninety percent of survey respondents (response rate 58%) generally agreed that DAVR improved their preparation for and learning from dissection when used. Of several learning resources, only DAVR usage had a significant positive correlation (P = 0.002) with feeling prepared for dissection. Results on cadaveric anatomy practical examination questions in year 2 (Y2) and year 3 (Y3) cohorts were 3.9% (P < 0.001, effect size d = -0.32) and 0.3% lower, respectively, with DAVR available compared to previous years. However, there were positive correlations between students' cadaveric anatomy question scores with the number and total time of DAVR viewed (Y2, r = 0.171, 0.090, P = 0.002, n.s., respectively; and Y3, r = 0.257, 0.253, both P < 0.001). Students accessing all DAVR scored 7.2% and 11.8% higher than those accessing none (Y2, P = 0.015, d = 0.48; and Y3, P = 0.005, d = 0.77, respectively). Further development and promotion of DAVR are needed to improve engagement and learning outcomes of more students. Anat Sci Educ 9: 545-554. © 2016 American Association of Anatomists.
Reference Key
choilundberg2016onlineanatomical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Derek L Choi-Lundberg, William A Cuellar, Anne-Marie M Williams
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Journal anatomical sciences education
Year 2016
DOI
10.1002/ase.1607
URL
Keywords
e-learning undergraduate medical education cognitive load medical student action research instructional design multimedia anatomical sciences/medical education computers in anatomical education dissection anatomy human gross anatomy learning analytics

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