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Record W4408668027 · doi:10.1080/02568543.2025.2472863

Teachers’ Perceived Effects of Classroom Physical Activity Breaks on Students’ Self-Regulation: A Mixed-Methods Study

2025· article· en· W4408668027 on OpenAlexaff
Nolwenn Chesnais

Bibliographic record

VenueJournal of Research in Childhood Education · 2025
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyDevelopmental psychologyMultimethodologySelf-efficacyMathematics educationSelf-controlModellingSocial psychologyTeaching method

Abstract

fetched live from OpenAlex

This mixed-methods study focused on teachers’ perceptions about the effects of a classroom physical activity breaks (CPAB) program on students’ self-regulation. Participants were six teachers and 47 elementary students (6 to 10 years old). Teachers identified two groups: 23 students with behavioral difficulties and 22 students in the control group. A simultaneous mixed design was used to measure teachers’ perceptions of students’ self-regulation with the Self-Regulation Questionnaire teacher version and interviews. According to teachers, a CPAB program seems interesting to support students’ cognitive, behavioral, and emotional self-regulation through different processes, such as task involvement, energy modulation, emotional expressivity, emotional modulation, and self-consciousness. Quantitative and qualitative results converged, suggesting that CPAB could be helpful for students with behavioral difficulties considering the positive effects identified on different dimensions of their self-regulation. Divergences also emerged regarding the implied dimensions and processes of self-regulation, underscoring the importance of using a mixed-methods design to measure self-regulation.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.481
Teacher spread0.451 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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