Students preferred e-models used alongside physical models, suggesting digital tools alone may not fully replace traditional methods¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? While e-models were well received, students expressed a preference for using them alongside physical models rather than digital tools alone. → Baxmann Martin 2024
Evidence¶
Baxmann Martin 2024¶
Baxmann Martin, Baráth Zoltán, Kárpáti Krisztina. (2024). Efficacy of typodont and simulation training in orthodontic education: a systematic review. BMC Medical Education. https://doi.org/10.1186/s12909-024-06425-8
q2 · i? · review · r3
The review attributes this to Ho et al. (2022), a mixed-methods study of 40 students using 3D digital dental models (e-models), which found higher acceptance of e-models, increased mouse-clicks in diagnostic tasks, and improved diagnostic performance.
"while e-models were well received, students expressed a preference for using them alongside physical models, suggesting that digital tools alone may not fully replace traditional learning methods"
Discussion¶
Related Claims¶
- Students overwhelmingly favored a hybrid approach combining VDTs with cadaveric dissection over full replacement — possibly the same claim (merge candidate)
- Engineering students come to view mastering GenAI as crucial as other engineering skills, driven by labour-market expectations, alongside widespread uncertainty about over-reliance — related
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