Theory‐Guided Remote Cooperative Learning‐Based Preventive Dental Education as Part of the School Curriculum
Bibliographic record
Abstract
BACKGROUND: Oral health is fundamental to overall well-being. As teens are at high risk for tooth decay, we require a unique approach to motivate them to maintain oral health. METHODS: Sixty-four adolescents (10-13 years) were recruited from 2 schools. Oral health education was based on cooperative learning guided by the social determination theory (SDT) principles. Students' oral health knowledge and oral self-care skills were assessed at baseline (before education), 3 weeks, and 6 months after the education. RESULTS: Complete data were available for 51 students (follow-up rate 79.7%). There were significant (p < 0.001) changes in the mean (SD) toothbrushing score from 10.1 (±6.3) (baseline) to 26.5 (±6.0) (follow-up 1) and to 28.1 (±5.3) (follow-up 2). The mean (SD) tooth brushing time significantly (p < 0.001) increased from the baseline of 84.0 (±43.5) to the first follow-up to 107.0 (±39.8) and to 102.3 (±33.1) at the second follow-up. The mean (SD) diet knowledge scores significantly (p < 0.001) increased from 8.2 (±2.1) at the baseline to 10.2 (±2.7) at the first follow-up and remained the same at the second follow-up. CONCLUSION: Social determination theory-guided cooperative learning was efficient in improving student oral health-related knowledge and oral self-care skills, and this improvement was maintained for 6 months after the discontinued education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".