How effectively does the full-day, play-based kindergarten programme in Ontario promote self-regulation, literacy, and numeracy?
Bibliographic record
Abstract
This study investigated the effectiveness of the Full-Day Early Learning Kindergarten (FDELK) programme, which integrates play-based learning and team teaching, in promoting 32,027 kindergarteners’ self-regulation (SR), literacy, and numeracy outcomes. Outcome measures derived from teacher reports of students’ school readiness in the Early Development Instrument were analysed in separate hierarchical regression analyses that controlled for individual and school-level characteristics. Results revealed essentially no benefit for students participating in the FDELK programme when compared to peers in Half-Day Kindergarten (HDK) or Alternate-Day Kindergarten programmes. Being older, female, and in higher socio-economic status schools with a history of higher achievement predicted more positive SR, literacy, and numeracy outcomes. Findings suggest the FDELK programme requires improvement. Play-based learning programmes, such as the FDELK, might be enhanced by incorporating evidence-based guidelines and goals for play, reducing class sizes to more effectively scaffold learning, and revising curriculum expectations to include a greater focus on SR, literacy, and numeracy skills.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".