Knowledge Skill and Attitude among fresh dental graduates about orthodontics
Bibliographic record
Abstract
Introduction: The field of orthodontics is an essential component of the bachelor in dental surgery program. As stated by the American Association of Orthodontics, it is defined as an area of dentistry that deals with diagnostics, prevention, interceptions, and correcting the relationships between mature or developing orofacial structures. The goals of orthodontic therapy are to improve the aesthetics of a person of which a very important component is the smile, obtain the normal or close to normal occlusion, and establish normal oral function. Due to a growing esthetic awareness among the general population orthodontics is gaining popularity as a profession. Hence dentists need to be trained well in this field to cater to the growing needs of the general population.Objective: The objective of the survey was to find out whether the graduates that are being produced by the dental colleges of Pakistan are knowledgeable and skillful in the field of orthodontics or not.Methods: It was a quantitative descriptive survey carried out in 2018. The questionnaire was developed with the help of an orthodontic expert following the American, European, Canadian, and Australian competencies and piloted before being used for the actual research process. Students who had recently graduated were the target population. Informed consent was obtained from each student before handing them the questionnaire. 33 students in total participated in the study.Results:33 surveys were returned. The questionnaire was divided into knowledge, skills, and attitude portion. For the knowledge part, the majority of graduates felt underconfident and were felt they were not well versed theoretically. In the skills portion, the most common answers were either not confident or fairly confident revealing that students again did not have again enough confidence in their skills and the majority had done either very little or no patients in their final year. For the attitude section, the majority of students were not interested in taking orthodontic as their subject of post-graduation since they did not feel very confident about it.Conclusion: The results of the survey identified the lags in the final year BDS curriculum especially when it came to orthodontics. Serious consideration needs to be given to training students in the particular field so the dental graduates are confident and skilled in all fields of dentistry when they pass out. Keywords: Fresh dental graduate, Knowledge, Skill, Attitude
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".