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Record W4365504703 · doi:10.1002/pits.22927

A tailored physical education program enhances elementary students' self‐efficacy, attitudes, and motivation to engage in physical activity

2023· article· en· W4365504703 on OpenAlexaff
Shannah Dutrisac, Anomi G. Bearden, Jazmyn Borgel, Rob Weddell, Mark M. Jones, Scott Oddie

Bibliographic record

VenuePsychology in the Schools · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsAlberta Health ServicesAlberta HealthRed Deer Polytechnic
Fundersnot available
KeywordsPsychologyPhysical educationPsychological interventionSelf-efficacyPhysical activityPerceptionIntervention (counseling)Applied psychologySample (material)CognitionMedical educationSelf-determination theoryMathematics educationSocial psychologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

Abstract Achieving adequate physical activity is an important health goal that many elementary school students are not meeting during the school day. The physical activity leadership (PAL) Program was designed to provide individually tailored supports to improve the quantity and quality of physical activity in schools, as well as promote improvements in self‐efficacy, attitudes, and motivation for physical activity. Self‐efficacy, attitudes, and motivation are three key factors in predicting increases in physical activity, and consequently serve as the cognitive‐affective variables examined in the present study. A sample of 117 fourth‐ and fifth‐grade students and 22 teachers completed several quantitative and open‐ended feedback measures before and after a district‐wide physical activity intervention. Results indicated the PAL Program was highly beneficial to all participants, and several key measures (negative attitudes, motivation to exercise, and perceptions of physical ability) were significantly impacted in the anticipated direction. Open‐ended feedback data collected from teachers involved also suggests that the program was well‐received and was perceived as beneficial. This study provides additional evidence in support of individually tailored physical education interventions.

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)0.000
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 score0.201
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.428
Teacher spread0.390 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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