Predicting novice dental students' performances in conventional simulation: A prospective pilot study using haptic exercises
The number of haptic exercise failures can predict performance in conventional simulations and help identify students with manual dexterity issues, guiding personalized preclinical training adjustments.
Authors
- Assem Soueidan (ORCID: https://orcid.org/0000-0001-8759-2165)
- Fabrice Pirolli (ORCID: https://orcid.org/0000-0002-7083-3126)
- Octave Nadile Bandiaky (ORCID: https://orcid.org/0000-0002-6556-1947)
- Laurent Le Guéhennec
- Séréna Lopez-Cazaux (ORCID: https://orcid.org/0000-0003-2358-8428)
- Ludovic Hamon
- Christelle Volteau
- Valériane Loison
Institutions
- Inserm (FR)
- Université Nantes Angers Le Mans (FR)
- Centre Hospitalier Universitaire de Nantes (FR)
- Le Mans Université (FR)
- Laboratoire de Thermique et Energie de Nantes (FR)
- Centre Hospitalier du Mans (FR)
- Oniris (FR)
- Centre de Recherche en Éducation de Nantes (FR)
- RMeS - Regenerative Medicine and Skeleton
- Laboratoire Motricité, Interactions, Performance (FR)
- Nantes Université (FR)
Publication Details
- Journal
- Journal of Dental Sciences
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1016/j.jds.2024.10.023
- Citations
- 4
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Agence Nationale de la Recherche