Fig 1.
Final exam framework for 6th year dental students.
MCQ pass was to correct at least 120/200 MCQs with maximum 10/10 scores. For written test, passing was at least 5 scores/situation (with maximum 10/10 scores). The OSCE pass was at least 5 scores/station (with maximum 10/10 scores). The 6th year clinical practice score was at least 5 scores. Practicum score was average of OSCE and 6th year clinical practice score. Total score was measured as an average of theory and practicum scores.
Fig 2.
A. Model for online OSCE Stations: Room A1 (Dental Basic Sciences), A2 (Prosthodontics), A3 (Oral Implantology), A4 (Oral Pathology), A5 (Oral Surgery), A6 (Oral Radiology), B1 (Periodontology), B2 (Restorative Dentistry and Endodontics), B3 (Pediatric Dentistry), B4 (Dental Public Health), B5 (Orthodontics), B6 (Maxillo-facial Surgery) with 2 accessors in each room. B. Demonstration of Orthodontics Station. We applied the Team and Channel division functions in Microsoft Teams to assign the students to their rooms after each round of test.
Fig 3.
Distribution of scores throughout 3 years.
A. Component scores of all subjects. B. Histograms of MCQ, Total Theory Scores, Clinical Problem-Solving Scores and Average Score of Clinical Exam. For each histogram, scores (ranged from 0 to 10 presented by different color) were visualized. For each density plot, scores (ranged from 0 to 10) were visualized with the number of students getting regarding score for 3 groups (2020, 2021 and 2022). Dash lines presents the mean score of each group.
Table 1.
The difference of average score of each subject in 3 years 2020, 2021 and 2022.
Fig 4.
Density plots of scores of Development and Preventive Dentistry in Clinical Problem Solving vs. Clinical Exam throughout 3 years.
For each density plot, scores (ranged from 0 to 10) were visualized with the number of students getting regarding score for 3 groups (2020, 2021 and 2022). Dash lines presents the mean score of each group.
Fig 5.
Cluster analysis of final exam scores throughout 3 years.
A. Principal component analysis (PCA) of scores revealed 3 clusters (red, blue, green colors) in each year. For each year, students were clusters by their score using the 2 first PCA (dimension 1 and 2 with the percentage number presenting the percentage of clarifying of observations). B. Boxplot of component scores of all tests in each cluster of each year. Median of score (red lines), outliners (black dots) were ranged from 0 to 10. Cluster 1 (2020), cluster 1 (2021) and cluster 3 (2022) shared the same components. Cluster 2 (2020), cluster 2 (2021) and cluster 2 (2022) shared the same components. Cluster 3 (2020), cluster 3 (2021) and cluster 1 (2022) shared the same components.