Background: New technologies can facilitate the transition from pre-clinical to clinical settings. We investigate students' satisfaction with a novel learning method adopted in access cavity exercises. Methods: Students performed their access cavity on inexpensive, in-house 3D printed teeth. Their performances were evaluated by scanning the prepared teeth with an intraoral scanner and visualized using a mesh processing software. Then, the same software was used to align the tooth prepared by the student and the teacher's one for self-assessment purposes. Students were asked to answer a questionnaire about their experiences with this new learning method. Results: From the teacher's perspective, this novel learning approach was easy, straightforward and affordable. Overall, student feedback was positive: 73% found that access cavity assessment by scanning was more useful compared to a visual inspection under magnification and 57% reported that they had a better understanding of errors and mishaps. On the other hand, students pointed out that the material used to print teeth was too soft. Conclusion: The use of in-house 3D printed teeth in pre-clinical training is a simple way to overcome some of the drawbacks associated with extracted teeth, such as limited availability, variability, cross-infection control, and ethical constraints. The use of intraoral scanners and mesh processing software could improve student self-assessment.

A Novel Self-Assessment Method for Training Access Cavity on 3D Printed Endodontic Models / Meglioli, Matteo; Mergoni, Giovanni; Artioli, Francesco; Ghezzi, Benedetta; Manfredi, Maddalena; Macaluso, Guido Maria; Lumetti, Simone. - In: DENTISTRY JOURNAL. - ISSN 2304-6767. - 11:6(2023), p. 152. [10.3390/dj11060152]

A Novel Self-Assessment Method for Training Access Cavity on 3D Printed Endodontic Models

Meglioli, Matteo;Mergoni, Giovanni
;
Ghezzi, Benedetta;Manfredi, Maddalena;Macaluso, Guido Maria;Lumetti, Simone
2023-01-01

Abstract

Background: New technologies can facilitate the transition from pre-clinical to clinical settings. We investigate students' satisfaction with a novel learning method adopted in access cavity exercises. Methods: Students performed their access cavity on inexpensive, in-house 3D printed teeth. Their performances were evaluated by scanning the prepared teeth with an intraoral scanner and visualized using a mesh processing software. Then, the same software was used to align the tooth prepared by the student and the teacher's one for self-assessment purposes. Students were asked to answer a questionnaire about their experiences with this new learning method. Results: From the teacher's perspective, this novel learning approach was easy, straightforward and affordable. Overall, student feedback was positive: 73% found that access cavity assessment by scanning was more useful compared to a visual inspection under magnification and 57% reported that they had a better understanding of errors and mishaps. On the other hand, students pointed out that the material used to print teeth was too soft. Conclusion: The use of in-house 3D printed teeth in pre-clinical training is a simple way to overcome some of the drawbacks associated with extracted teeth, such as limited availability, variability, cross-infection control, and ethical constraints. The use of intraoral scanners and mesh processing software could improve student self-assessment.
2023
A Novel Self-Assessment Method for Training Access Cavity on 3D Printed Endodontic Models / Meglioli, Matteo; Mergoni, Giovanni; Artioli, Francesco; Ghezzi, Benedetta; Manfredi, Maddalena; Macaluso, Guido Maria; Lumetti, Simone. - In: DENTISTRY JOURNAL. - ISSN 2304-6767. - 11:6(2023), p. 152. [10.3390/dj11060152]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2951812
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact