The Impact of Moral Education Interventions on Adolescents' Sociomoral Reasoning Skills
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Bibliographic record
Abstract
This study aimed to investigate the effectiveness of a moral training workshop designed to enhance sociomoral reasoning among adolescents. Drawing on the principles of ethical decision-making and moral development theory, the intervention sought to provide participants with the skills and knowledge necessary to navigate complex moral dilemmas. Employing a randomized controlled trial design, the study included 50 adolescents aged 12 to 16 years, randomly assigned to either the intervention or control group. The intervention comprised eight 75-minute sessions conducted over four weeks, focusing on moral dilemmas, perspective-taking, ethical decision-making, and reflection on personal values. Sociomoral reasoning was assessed using the Defining Issues Test-2 (DIT-2) at three time points: pre-intervention, post-intervention, and a two-month follow-up. Analysis of Variance with Repeated Measurements indicated significant improvements in sociomoral reasoning scores for the experimental group compared to the control group (p < 0.01). The experimental group showed a notable increase in DIT-2 scores from pre-test to post-test, which was maintained at the two-month follow-up. The Bonferroni Post-Hoc Test further confirmed these findings, highlighting significant advancements in sociomoral reasoning immediately following the workshop, with sustained effects over time. The moral training workshop effectively enhanced sociomoral reasoning among adolescents, suggesting that structured moral education interventions can significantly impact ethical development. These findings underscore the importance of incorporating moral reasoning training in adolescent education, providing a foundation for ethical decision-making that can guide behavior across various life contexts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it