The Kids are Happier: An Inclusive, Strengths-Based Approach to Supporting Relationship-Building and Focus for Early Elementary Students
Bibliographic record
Abstract
Public schools in Canada provide an ideal setting to observe the country’s inherent diversity, which can significantly influence various aspects of functioning, including social relationships and academic focus for learning among elementary students. This thesis examines the impact of moderate-to-high physical activity (MHPA) bouts on social relationships and academic focus with grade one students within a public elementary school classroom. This thesis describes case study research designed to investigate how MHPA bouts influence elementary student social interactions and focus for academic tasks in an elementary classroom, and whether physical activity serves as a positive factor for students’ social and physical development. Using a qualitative case study design, this research integrated data from student focus groups, classroom observations, and discussions with the teacher. All data were analyzed and triangulated in the development of themes, subthemes, findings, and recommendations for teaching practice and educational policy Key findings demonstrate that incorporating MHPA bouts in early elementary classrooms can enhance students’ focus for learning and improve social dynamics for all students, including those who are typically developing and those who are more active or vocal than their peers. Study results highlight the importance of integrating physical activity into classroom teaching strategies, not only to promote physical health but also to support students’ social well-being and academic focus. The study concludes with recommendations for incorporating structured MHPA into early elementary classrooms and suggests directions for future research to further explore the impact of MHPA on early years and upper elementary students.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".