Exploring student acceptance of learning technologies in anatomy education: A mixed-method approach
Jason Wen Yau Lee1, Dennis Wenhui Ong1, Reuben Chee Chong Soh2
1Technology Enhanced Learning and Innovation Department, Office of Education, Duke-NUS Medical School, Singapore, Singapore.
Summary
Medical students showed a preference for 3D-printed models and virtual reality over digital resources for anatomy learning. Perceived ease of use did not significantly impact technology adoption in anatomical education.
Area of Science:
- Medical Education
- Anatomy
- Educational Technology
Background:
- Anatomical education is shifting from traditional cadaveric dissection to technology-enhanced methods.
- The integration of various learning technologies necessitates an understanding of student acceptance.
Purpose of the Study:
- To explore medical students' acceptance of four learning technologies using the technology acceptance model (TAM).
- To compare student preferences between 3D-printed models and digital resources for spine anatomy.
- To compare student preferences between virtual reality and augmented reality platforms for brain anatomy.
Main Methods:
- A study was conducted with first-year MD Program students at a graduate medical school in Singapore.
- Study 1 compared a 3D-printed model against Primal Pictures for spine anatomy learning (n=46).
- Study 2 compared the Anatomage Table against Primal VR for brain anatomy learning (n=55).
Main Results:
- Students significantly preferred 3D-printed models over Primal Pictures for spine anatomy (p<0.05).
- Students significantly preferred Primal VR over the Anatomage Table for brain anatomy (p<0.05).
- Perceived ease of use did not correlate with the behavioral intention to use the technologies.
Conclusions:
- Learner preferences exist for specific technologies in anatomical education, favoring 3D-printed and VR tools.
- Visualization and spatial relationships are key factors influencing learning, highlighting the importance of technology affordances.
- Educators should strategically integrate technologies, considering their learning curves and maximizing perceived usefulness for effective anatomical instruction.
Keywords:
anatomy educationhuman digital anatomytechnology acceptance modeltechnology enhanced learning

