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The Role of Digital 3D Scanned Models in Dental Students' Self-Assessments in Preclinical Operative Dentistry
- Source :
- Journal of dental education. 82(4)
- Publication Year :
- 2017
-
Abstract
- The aim of this study was to determine how dental student self-assessment and faculty assessment of operative preparations compared for conventional visual assessment versus assessment of scanned digital 3D models. In 2016, all third-year students in the Class of 2018 (N=35) at Harvard School of Dental Medicine performed preclinical exams of Class II amalgam preparations (C2AP) and Class III composite preparations (C3CP) and completed self-assessment forms; in 2017, all third-year students in the Class of 2019 (N=34) performed the same exams. Afterwards, the prepared typodont teeth were digitally scanned. Students self-assessed their preparations digitally, and four faculty members graded the preparations conventionally and digitally. The results showed that, overall, the students assessed their preparations higher than the faculty assessments. The mean student-faculty gaps for C2AP and C3CP in the conventional assessments were 11% and 5%, respectively. The mean digital student-faculty gap for C2AP and C3CP were 8% and 2%, respectively. In the conventional assessments, preclinical performance was negatively correlated with the student-faculty gap (r=-0.47, p
- Subjects :
- Self-assessment
Self-Assessment
020205 medical informatics
education
Polyurethanes
Acrylic Resins
Students, Dental
Dentistry
Significant learning
02 engineering and technology
engineering.material
computer.software_genre
Composite Resins
Dental Amalgam
03 medical and health sciences
0302 clinical medicine
Imaging, Three-Dimensional
Educational assessment
Dentistry, Operative
Visual assessment
Faculty, Dental
0202 electrical engineering, electronic engineering, information engineering
Medicine
Humans
Learning
Education, Dental
Typodont
Operative dentistry
business.industry
Educational Technology
030206 dentistry
General Medicine
Amalgam (dentistry)
Quartile
engineering
Regression Analysis
Schools, Dental
Clinical Competence
Educational Measurement
business
computer
Subjects
Details
- ISSN :
- 19307837
- Volume :
- 82
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of dental education
- Accession number :
- edsair.doi.dedup.....4f6b2d0c69ac9a492e2de12d7a9a9fc3