Journal of Dental Education最新文献

Purpose/objectives: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results using artificial intelligence machine learning (ML) models, and Pearson correlation coefficient (PCC).

Methods: ML algorithms logistic regression (LR), decision tree (DT), random forest (RF), and support vector machine (SVM) models were applied. Academic performance prediction in pre-clinical years was made using three input parameters: age during admission, pre-university Cumulative Grade Point Average (CGPA), and total matriculation semester. PCC was deployed to identify the correlation between pre-university CGPA and dental school grades. The proposed models' classification accuracy ranged from 29% to 57%, ranked from highest to lowest as follows: RF, SVM, DT, and LR. Pre-university CGPA was shown to be predictive of dental students' academic performance; however, alone they did not yield optimal outcomes. RF was the most precise algorithm for predicting grades A, B, and C, followed by LR, DT, and SVM. In forecasting failure, LR predicted three grades with the highest recall, SVM predicted two grades, and DT predicted one. RF performance was insignificant.

Conclusion: The findings demonstrated the application of ML algorithms and PCC to predict dental students' academic performance. However, it was limited by several factors. Each algorithm has unique performance qualities, and trade-offs between different performance metrics may be necessary. No definitive model stood out as the best algorithm for predicting student academic success in this study.

Objectives: This study aimed to investigate the relationship between various independent variables, such as cumulative grade point average (CGPA), socio-economic backgrounds, anxiety levels, and the self-rated competency levels, across six domains outlined by the American Dental Education Association (ADEA) of recently graduating dental students during pediatric patient care.

Methods: This cross-sectional study was conducted at the College of Dentistry, Jouf University, Saudi Arabia. It included 74 participants (37 final-year dental students and 37 dental interns). Multiple logistic regression was employed to analyze the association between various independent variables (including CGPA, grade point average [GPA] in didactic, practical, and clinical courses, socio-economic backgrounds, gender, and self-reported student anxiety) and self-rated ADEA competency in pediatric dental practice within general dentistry (p < 0.05).

Results: Final-year dental students were 28.5 times more likely to be competent in professionalism (C2) than interns (adjusted odds ratio [AOR] = 28.54, p = 0.001). In professionalism (C2), males were 91% less likely to be competent than females (AOR = 0.09, p = 0.001). A high GPA in didactic courses increased the likelihood of competence in health promotion (C4) by 3.4 times compared with an average GPA (AOR = 3.41, p = 0.071). Regarding the establishment and maintenance of oral health (C6B), final-year dental students were 4.4 times more likely to be competent than interns (AOR = 4.41, p = 0.013).

Conclusion: This study identified key factors affecting clinical competency during pediatric patient care among newly graduating dentists. It highlighted the influence of gender differences, academic performance (GPA), and anxiety levels among graduates as significant predictors.

Objective: To compare the efficacy of Jigsaw and Inquiry-Based Learning (IBL) methods in promoting effective learning outcomes within diverse dental educational settings.

Methods: A total of 188 dental undergraduate students were recruited for the study and divided into Batch A (n = 96) and Batch B (n = 92). Each batch underwent two teaching sessions, one using the Jigsaw method and the other using IBL. A structured questionnaire using five-point Likert scales assessed students' preferences between the two methods. Pre- and post-intervention tests were conducted to measure knowledge acquisition. Statistical analysis was performed using Student's t-test with STATA version 17, with a p-value of < 0.05 considered significant.

Results: Both Jigsaw and IBL methods significantly improved students' knowledge, with mean scores showing a significant difference before and after interventions (p < 0.001). IBL was more effective in comprehensive topic coverage (99.46%) and enhancing subject understanding. Both methods yielded comparable outcomes in terms of improving communication skills. The Jigsaw method was simpler and more enjoyable, encouraging active participation and enhancing communication skills. IBL promoted critical thinking, research skills, and deeper comprehension of concepts.

Conclusion: Jigsaw and IBL methods are both effective in enhancing dental education. The choice between these methods depends on the specific learning objectives, the complexity of the topic, and the preferences of the dental educator and students.

Objective: To assess the perceptions of novice and experienced undergraduate dental students of virtual learning with two-dimensional (2D) and three-dimensional (3D) vision.

Materials and methods: This qualitative study involved 21 students from the second and fourth years of a 5-year BDS program. They first performed three operative tasks in virtual reality (VR) training sessions using both 2D and 3D vision. Subsequently, they participated in one of four online focus group discussions (FGDs). The FGDs were recorded and transcribed, and the data obtained from the transcriptions were coded and thematically analyzed.

Results: Three main themes emerged from the focus groups. With regard to their perceptions of 2D and 3D vision, most of the participants preferred 3D over 2D vision, mainly due to an improved ability to perceive depth. With regard to the theme of practicing 3D vision in the VR environment, some participants performed their tasks faster with 3D vision than with 2D vision, while others did not perceive any difference between them. Under the same main theme, some participants experienced headaches and eye fatigue with 3D vision. With regard to their perception of technical aspects, with 3D glasses, the participants experienced unpleasant sensations and saw darker images.

Conclusion: All the participants placed greater value on practicing with 3D than with 2D vision in the VR environment. They believed that VR training should be used in the early years of dental education as an adjunct to the phantom head as it helps students acquire the skills needed by dental professionals.

Background: Orthodontic education, besides some other factors, influences the confidence level of recently graduated dentists to diagnose subjects seeking orthodontic treatment and provide treatment plans. This study aims to explore the factors that influence the confidence level of undergraduate dental students to diagnose subjects seeking orthodontic treatment and provide treatment plans after graduation.

Methods: A qualitative study was undertaken using focus groups and interviews. Purposive sampling was used, focus groups and face to face semi-structured interviews were adopted as the method of data collection. Three focus groups were evaluated including fifth-year undergraduate, postgraduate orthodontic students, and recently graduated general dentists. In addition, eleven interviews were performed with the fifth-year undergraduate students. Data collection ceased upon reaching data saturation, with thematic analysis employed for qualitative data analysis.

Results: Six themes and two sub-themes were extracted from the data. More focus on the theory was highly noticed, and most of the participants exhibited a low level of self confidence in extrapolating orthodontic diagnosis and establishing treatment plans after graduation. In addition, they believed that practical teaching sessions mostly deal with wire bending and demanded to expand the clinical orthodontic knowledge to be able to indicate the right diagnosis and initiate proper treatment plans.

Conclusions: Clinical and practical training alongside theoretical foundation represent key factors in orthodontic education required to obtain confidence in orthodontic practice among dental undergraduate students and alumni. The findings help in enhancing undergraduate programs via providing a clinically oriented orthodontic education from student perceptions.