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Record W4414979020 · doi:10.32396/usurj.v10i2.865

Influence of Physical Education Experiences on School-Aged Children’s Perceived Physical Literacy Development

2025· article· en· W4414979020 on OpenAlexaffvenue
Adeoluwa Adebayo, Natalie Houser

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysical educationLiteracyPerceptionSet (abstract data type)Data collectionKinesiologyHealth literacyObservational study

Abstract

fetched live from OpenAlex

College of Kinesiology Research Theme: Child and Youth Health and Development Introduction: Physical literacy is the motivation, confidence, physical competence, knowledge and understanding to value and take responsibility for engagement in physical activities for life. Physical education (PE) offers a unique and structured opportunity for children to develop physical literacy by providing varied movement experiences within supportive and inclusive learning environments. Pedagogical practices in these environments often range from more traditional (e.g., sport) to less traditional approaches such as circus arts, which may result in different student experiences. Current literature emphasizes the importance of examining how physical literacy is perceived and fostered within educational contexts, particularly through varied pedagogical approaches. Purpose: This study aimed to investigate the relationship between teacher and student perceptions of physical literacy within the circus arts and traditional PE environments, and how these experiences might differ. Methods: A cross-sectional design was utilized, with data collection from the physical literacy self-assessment (PLAYself), teacher assessment of student physical literacy (PLAYcoach), and observational assessments using a comprehensive physical literacy checklist. Descriptive statistics, correlation analyses, and Mann-Whitney U tests were conducted to explore differences and relationships among the distinctive physical literacy measures. Significance was set at p < 0.05. Results: This study involved 228 students (114 males, 114 females) ranging from grades 4 to 7, and their PE teachers (1 male, 1 female) from the two schools. There was a significant positive correlation between student (PLAYself) and teacher (PLAYcoach) perspectives of physical literacy (r = 0.291; p < 0.001). There was also a significant positive correlation between both perspectives of physical literacy and the PE environment (PLAYself and PE environment: r = 0.754, p < 0.001; PLAYcoach and PE environment: r = 0.272, p < 0.001). When examining the difference in traditional PE compared to circus in PE, we found that traditional PE students reported higher self-perceived physical literacy scores (Environment: 22.5 ± 3.75 vs. 21.0 ± 3.27; p = 0.001; Self-description: 36.9 ± 5.88 vs. 34.3 ± 4.86; p < 0.001), whereas teacher and observational assessments indicated significantly higher scores outcomes in circus arts PE classes (Teacher assessed PL: 67.2 ± 20.54 vs. 53.9 ± 17.89; p < 0.001; Observational scores: 21.8 ± 0.95 vs. 15.6 ± 1.09; p < 0.001). Conclusion: The results of this study revealed important relationships between physical literacy perceptions and their respective PE environments. Observational and teacher-reported data suggest that circus arts in PE provides a more physical literacy-enriched environment compared to traditional PE, fostering greater creativity, inclusivity, and affective engagement, as well as a greater opportunity for teachers to understand the abilities of all students in non-sport contexts. However, these experiences did not translate into students' self-perceptions of physical literacy, indicating a need for further research to understand whether sustained implementation might bridge the gap between instructional design and student experience.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

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 studies0.0020.001
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 head0.041
GPT teacher head0.419
Teacher spread0.379 · 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 designQualitative
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 routes2
Has abstractyes

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