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Record W4413391390 · doi:10.1123/jtpe.2024-0336

Teachers’ Perspectives of Social and Emotional Learning in Elementary Physical Education

2025· article· en· W4413391390 on OpenAlexaff
Ben Dyson, Seunghyun Baek, Yongjin Lee, Kevin Stuttle, Judy Fowler

Bibliographic record

VenueJournal of Teaching in Physical Education · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsCanarie
Fundersnot available
KeywordsPhysical educationPsychologySocial emotional learningMathematics educationPrimary educationPedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

This study aimed to investigate elementary physical education (PE) teachers’ personal and professional beliefs about social and emotional learning (SEL) and teaching SEL in the United States. The main research questions were: (1) What are elementary PE teachers’ interpretations of SEL as an educational concept within their own teaching contexts? and (2) What pedagogical approach do elementary PE teachers think is important to teach SEL within their own teaching contexts? Adopting a qualitative case study design, 22 elementary PE teachers were recruited across the United States. Semistructured interviews with an interview guide were implemented on a video-conferencing system called “Zoom.” Inductive qualitative analysis was conducted with open coding and axial coding. Five themes were generated from the data analysis: Teaching empathy has to be intentional, Recognizing and managing emotions, Creative teachable moments, Play is underrated, and It’s all about the context. We claim more empirical research should be conducted to gain a more comprehensive understanding of SEL implementation in elementary PE classes across a broad range of sociocultural contexts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.503
Teacher spread0.468 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes1
Has abstractyes

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