Elementary School Teachers’ Lived Experiences of Teaching Nutrition: A Qualitative Study
Bibliographic record
Abstract
Early nutrition education is crucial for lifelong health and learning (Cusick et al., 2016). Elementary schools and teachers play a significant role in shaping children's understanding of nutrition (Cotton et al., 2020). Yet, there's limited research on teachers' experiences teaching nutrition to elementary students and how it affects their well-being. This qualitative study examines 13 Ontario-based teachers' experiences in delivering nutrition education. Interviews revealed themes such as teachers' perceptions of their role and secondly challenges and facilitators in teaching nutrition, including time constraints, resource scarcity, body image, and cultural differences. These findings offer insights into the complexities teachers face in imparting this vital skill to children. The research aims to support teachers and promote positive change in education, fostering classrooms of positivity, impartiality, and acceptance. Ultimately, it strives for each student to embrace their dietary preferences, understand their culinary heritage, and envision their future selves, fostering inclusivity and enriching learning environments.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".