Nurturing child social-emotional development: evaluation of a pre-post and 2-month follow-up uncontrolled pilot training for caregivers and educators
Bibliographic record
Abstract
BACKGROUND: Social-emotional capacities contribute to children's mental health by helping them navigate their own and others' emotional states and forge healthy relationships. Caregivers and educators are critical socialization agents in early and middle childhood, but gaps remain in the systematic integration of social-emotional research into caregiver and educator trainings. The aim of this pilot study was to test the feasibility and preliminary efficacy of a social-emotional training designed to promote caregivers' and educators' capacities to support social-emotional development in children ages 3-8 years. METHODS: Fifty adults (n = 24 caregivers of children ages 3-8 years, n = 26 educators working with children ages 3-8 years) participated in a virtual training over 3 weeks. Participants completed pre-training, post-training, and 2-month follow-up questionnaires evaluating their knowledge of social-emotional concepts, use of training strategies, mental health, and satisfaction with the training. Caregivers also reported children's social-emotional capacities and mental health. RESULTS: On average, caregivers and educators completed 83% of the virtual training sessions and reported high satisfaction with the training. Further, preliminary evidence indicated that caregivers' and educators' knowledge of social-emotional concepts increased pre- to post-training and was maintained at the 2-month follow-up. Increases in caregivers' and educators' knowledge and greater use of training strategies were associated with improvements in children's social-emotional capacities and caregivers' and educators' own mental health. CONCLUSIONS: These pilot results support the feasibility of infusing evidence-based social-emotional content into caregiver and educator training initiatives aimed at nurturing child social-emotional development and mental health. The results inform future evaluation of the short- and long-term benefits of this training with a full-scale randomized controlled trial design.
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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 | 0.001 | 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 | 0.001 | 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 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".