Evaluating the Impact of a Mental Health Literacy Course on Pre-Service Teachers' Self-Efficacy, Attitudes Toward Trauma-Informed Care, Classroom Management, and Relationship Building
Bibliographic record
Abstract
Youth mental health distress has increased in recent years, creating a sense of urgency among teachers regarding preparation, knowledge, and a need for education. To address this need, this program evaluation study evaluated a 12-week mental health literacy course offered as part of a mandatory curriculum at a large Canadian university’s Faculty of Education. The goals of the course include amplifying preservice teachers’ sense of school mental health awareness, confidence, and relationship building through a trauma and violence and culturally informed approach. Results indicate that incorporating a mental health informed curriculum can positively influence perceived self-efficacy in providing mental health support, attitudes towards trauma-informed care, the ability to foster a mental health healthy classroom environment, and the quality of interactions preservice educators have with students. Perceived self-efficacy in trauma-informed care did not improve as a result of the course, suggesting that supporting classroom mental health and supporting classroom trauma are two distinct practices.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".