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A Comparative Pilot Study of Computer-Based Evaluation Software Versus Traditional Evaluation in Preclinical
Qi Dai1, Ryan Davis1, Houlin Hong2
1Department of General Dentistry, School of Dental Medicine, Stony Brook University, Stony Brook, New York, USA.
Journal of Dental Education
|March 5, 2025
Summary
Computer software effectively grades preclinical dental work, closely matching faculty evaluations. This technology offers a valuable tool for students to self-assess their operative skills and improve learning outcomes.
Area of Science:
- Dental Education
- Operative Dentistry
- Digital Technology in Dentistry
Background:
- Traditional faculty grading of preclinical dental work can be subjective.
- Objective, consistent evaluation methods are needed to enhance student learning in preclinical operative dentistry.
Purpose of the Study:
- To assess the effectiveness of computer-based evaluation software in grading preclinical dental preparations and restorations.
- To compare software-based grading with traditional faculty evaluation.
Main Methods:
- Forty-four Class I and Class II preparations and Class II restorations were created by first-year dental students.
- Evaluations were performed using a validated rubric by calibrated faculty and by scanning with Planmeca PlanScan and grading with Romexis E4D Compare Software.
- Software grades were compared to faculty grades using a linear mixed model across various tolerance intervals (100-500 µm).
Main Results:
- The Compare Software demonstrated minimal mean differences compared to faculty grades at specific tolerance levels: 1.64 points for Class I preparation (300 µm), 0.41 points for Class II preparation (400 µm), and 0.20 points for Class II restoration (300 µm).
- Optimal tolerance levels were identified for correlating software and faculty grades for each operative procedure.
Conclusions:
- The computer-based Compare Software provides a reliable adjunct for grading student preclinical operative procedures.
- This software serves as a practical tool for students to self-evaluate their performance in preclinical settings.
- The study determined optimal tolerance levels for correlating digital evaluations with traditional faculty grading.
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