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Record W4385874488 · doi:10.1007/s10643-023-01532-5

Infusing Physical Activity into Early Childhood Classrooms: Guidance for Best Practices

2023· article· en· W4385874488 on OpenAlexaff
Amanda L. McGowan, Madison C. Chandler, Hope K. Gerde

Bibliographic record

VenueEarly Childhood Education Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsEarly childhoodSociology of EducationPsychosocialPsychologyEarly childhood educationDevelopmental psychologyPedagogy

Abstract

fetched live from OpenAlex

Abstract Self-regulation is a critical emergent developmental competency that lays the foundation for children’s later psychosocial health and academic achievement. Recent work indicates that physical activity and energetic play opportunities support children’s self-regulation in the early childhood classroom. Many early childhood programs offer opportunities for children to engage in play, but teachers are rarely seen modeling physically active behaviors and face barriers to integrating opportunities for energetic play with early academic skills. Early childhood educational settings hoping to support children’s self-regulation development can provide multiple opportunities for children to observe teachers modeling physical activity, provide teacher support and scaffolding for physically active learning centers, and engage children in meaningful energetic play while promoting a range of academic skills. This article provides 10 research-based guidelines for supporting children’s self-regulation development through physical activity in early childhood classrooms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.030
GPT teacher head0.348
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2023
Admission routes1
Has abstractyes

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