Enhancing Spatial Thinking in Anatomy Education with Digital 3D Tools: A Systematic Literature Review of Comparative Studies

The mechanisms of how Spatial thinking using 3D visualizations improves performance in anatomy are not well understood. This review explores the integration of 3D visualizations in anatomy education, with a particular focus on their impact on spatial thinking. Search words and snowballing were used to identify 17 comparative studies, which were categorized by coding into three distinct comparisons: animated (dynamic) 3D vs. 2D visualizations, digital 3D vs. 2D visualizations without cross-sections, and 3D vs. 2D. Studies were done in eight countries with the number of participants (n = 1711). The results emphasize the advantages of digital 3D visualizations, particularly in scenarios where inferring spatial information from cross-sectional images proves challenging. Guidance and control over viewpoints are identified as crucial factors in enhancing learning outcomes. Media - 3D animated (dynamic) vs <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2\mathrm{D}(\mathrm{n}=8), 3\mathrm{D}$</tex> VS <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2\mathrm{D}(\mathrm{n}=4), 3\mathrm{D}$</tex> vs 2D cross-section <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=9)$</tex>. Assessment: post-test <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=13)$</tex>, assessment during the intervention <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=4)$</tex>. Outcomes: <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3\mathrm{D}$</tex> better <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=8)$</tex>, 3D sometimes better <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=3), 3\mathrm{D}=2\mathrm{D}(\mathrm{n}=7)$</tex>. This review highlights the benefits of digital 3D visualizations for anatomy education and underscores the importance of considering mediating mechanisms in future research. It calls for developing theories illuminating the learning processes associated with digital 3D visualizations in anatomy education to guide instructional design.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928113
Citations
1
Primary Topic
Medical and Biological Sciences
Type
article
Field-Weighted Citation Impact
3.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Spatial Thinking in Anatomy Education with Digital 3D Tools: A Systematic Literature Review of Comparative Studies

Leo A. Siiman, Joseph Grannum, Anna‐Liisa Tamm
1 citations
Medical and Biological Sciences
3.28
article

Enhancing Spatial Thinking in Anatomy Education with Digital 3D Tools: A Systematic Literature Review of Comparative Studies

Leo A. Siiman, Joseph Grannum, Anna‐Liisa Tamm
article en
1 citations

Abstract

The mechanisms of how Spatial thinking using 3D visualizations improves performance in anatomy are not well understood. This review explores the integration of 3D visualizations in anatomy education, with a particular focus on their impact on spatial thinking. Search words and snowballing were used to identify 17 comparative studies, which were categorized by coding into three distinct comparisons: animated (dynamic) 3D vs. 2D visualizations, digital 3D vs. 2D visualizations without cross-sections, and 3D vs. 2D. Studies were done in eight countries with the number of participants (n = 1711). The results emphasize the advantages of digital 3D visualizations, particularly in scenarios where inferring spatial information from cross-sectional images proves challenging. Guidance and control over viewpoints are identified as crucial factors in enhancing learning outcomes. Media - 3D animated (dynamic) vs <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2\mathrm{D}(\mathrm{n}=8), 3\mathrm{D}$</tex> VS <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2\mathrm{D}(\mathrm{n}=4), 3\mathrm{D}$</tex> vs 2D cross-section <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=9)$</tex>. Assessment: post-test <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=13)$</tex>, assessment during the intervention <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=4)$</tex>. Outcomes: <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3\mathrm{D}$</tex> better <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=8)$</tex>, 3D sometimes better <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{n}=3), 3\mathrm{D}=2\mathrm{D}(\mathrm{n}=7)$</tex>. This review highlights the benefits of digital 3D visualizations for anatomy education and underscores the importance of considering mediating mechanisms in future research. It calls for developing theories illuminating the learning processes associated with digital 3D visualizations in anatomy education to guide instructional design.

Tartu Health Care College (EE), University of Tartu (EE)
Quality Education
Openalex Percentile: Top 6%
Medical and Biological Sciences
3.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.