MétaCan
Menu
Back to cohort
Record W580947109

Learning to teach health and physical education : the experiences of elementary student teachers

2011· book· en· W580947109 on OpenAlexaboutno aff
Timothy Scott Fletcher

Bibliographic record

VenueTSpace (University of Toronto) · 2011
Typebook
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyNonprobability samplingSchool teachersTeacher educationEmbodied cognitionPedagogyMedical educationMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

This research investigates elementary student teachers’ experiences of learning to teach health and physical education (HPE) in a one-year pre-service teacher education program at Windermere University in Canada. The participants in the research are preparing to become elementary classroom teachers; a group who often recall negative prior experiences of HPE from their time as school pupils and report an overwhelming lack of preparation and confidence to teach HPE. Mixed-methods of data gathering were employed in the form of pre- and post-test surveys of 308 student teachers, and three interviews conducted with a purposive sample of ten student teachers. Four main findings emerged from the research. First, elementary student teachers’ embodied identity as healthy and physically active individuals profoundly shaped their prior experiences of HPE. Second, the 12-hour HPE course offered in Windermere’s pre-service program broadened student teachers’ views of HPE and provided them with some basic strategies for teaching elementary HPE. Third, the practice teaching experience provided some student teachers with opportunities to either observe or to try teaching HPE; few had opportunities to do both. Fourth, there was a positive and statistically significant change in student teachers’ identities as teachers of HPE from the beginning to the end of the pre-service teacher education program. Implications for school HPE, pre-service teacher education programs, policy regarding teachers of HPE, and future avenues for research are discussed in light of the findings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.142
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.058
GPT teacher head0.430
Teacher spread0.372 · 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
GenreOther

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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueTSpace (University of Toronto)Same topicPhysical Education and PedagogyFrench-language works237,207