The Impact of Full-Day Kindergarten on Learning Outcomes and Self-Regulation Among Kindergarten Children at Risk for Placement in Special Education
Bibliographic record
Abstract
Two-year, play-based, full-day kindergarten (FDK) has been shown to have long-term academic and self-regulation benefits for young children. This article addresses the question of whether FDK has particular benefits for children who may be at risk for placement in special education. Participants included 592 kindergarten children in their second year of kindergarten, with an average age of 5 years, 9 months. Parent reports indicated that 56% of the children spoke a language other than English at home. The research design exploited a natural experiment that occurred due to the phasing-in of FDK, creating two groups of children who attended either FDK or half-day kindergarten (HDK). Kindergarten children’s outcomes in vocabulary, reading, writing, mathematics, and self-regulation were used to create two achievement groups based on data cut-points: below average and average to above average. Following a series of binary logistic regression analyses, results showed that HDK children were significantly more likely than FDK children to be in the below average group in the areas of reading, vocabulary, and self- regulation. In fact, results for self-regulation showed that HDK children were three times more likely to fall into the below average group. These results are consistent with our larger study on the longitudinal impact of FDK to Grade 3. The article discusses the importance of play-based learning in fostering self-regulation and providing opportunities for small- group learning in the FDK program. For children who struggle academically, full-day learning through play with the guidance of an educator team may present additional benefits.
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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 | 0.001 |
| 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) | 0.001 | 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 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".