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  • IJMS Chiappini et al 2025

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    Available under license: CC BY: Creative Commons Attribution 4.0 International License

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Sculpting the Science: A Cross-Sectional Study on Teaching the Anatomy of Facial Muscles to Medical Students

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Toni Chiappini
  • Janine Correia
  • Adam Taylor
  • Jan van der Merwe
  • Quenton Wessels
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<mark>Journal publication date</mark>8/02/2025
<mark>Journal</mark>International Journal of Medical Students
Publication StatusAccepted/In press
<mark>Original language</mark>English

Abstract

Background
Clay-modeling in anatomy education is an engaging activity that complements cadaveric dissections. The post-COVID-19 cadaver shortage further necessitates alternative practical modalities.
Methods
A student-centered clay-modeling practical activity was developed towards the study of the muscles of facial expression due to a shortage of cadaveric material. Student feedback in the form of a questionnaire with closed- and open-ended questions was used. 21 students completed the questionnaire. Thematic analysis was inductively and manually performed to generate the primary and secondary themes associated with the open-ended questions.
Results
Four themes were generated: fun, collaboration, active learning, and bittersweet. Closed-ended questions revealed that respondents found the activity motivational and enjoyable. However, students expressed mixed emotions during the disassembly of their anatomical models. Some students described a sense of sadness, while others reported feeling devastated, reflecting the emotional investment and attachment they had developed toward their work. Conclusion
The outcome of this study presents the opportunity for further work to link discussions around the humanistic considerations of anatomy and the study of human remains, utilizing clay modeling as a crucial resource. This approach offers a sustainable, engaging alternative to traditional cadaver-based anatomy education, especially in resource-limited settings.