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Record W4410236574 · doi:10.3390/educsci15050590

Exploring Capacity and Professional Development Needs of Teachers: Moving Toward Inclusive and Engaging Physical Education for Girls

2025· article· en· W4410236574 on OpenAlexafffundabout
Danielle Bianca Bates, Serene Kerpan

Bibliographic record

VenueEducation Sciences · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsVancouver Island UniversityOntario Tech University
FundersUniversity of Ontario Institute of Technology
KeywordsProfessional developmentPhysical educationFaculty developmentPsychologyCapacity buildingPedagogyMathematics educationSociologyPolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to understand teachers’ knowledge, perspectives, and experiences on inclusive and engaging physical education (PE) for girls, for the development of teacher professional development (PD). Through grounded theory qualitative research, this study explored teachers’ capacity and PD needs for including and engaging girls in PE. Data were collected from 10 Ontario teachers (N = 10) through two semi-structured focus groups and five semi-structured individual interviews. Themes were generated from the data indicating that teachers’ capacity to engage and include girls in PE is multifaceted and is influenced by numerous intrapersonal and institutional factors. While teacher participants employed a variety of evidence-based practices, notable gaps remained—particularly in their PE knowledge, inclusive pedagogical approaches, and confidence in their teaching abilities in a PE environment. This research provides insight for future PD to support teachers in engaging girls in PE.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.140
GPT teacher head0.433
Teacher spread0.293 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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