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Record W2745753898 · doi:10.5430/ijhe.v6n4p200

The Effect of “Physical Education and Sport Culture” Course on the Attitudes of Preservice Classroom Teachers towards Physical Education and Sports

2017· article· en· W2745753898 on OpenAlexvenueno aff
Yakup Koç

Bibliographic record

VenueInternational Journal of Higher Education · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical educationTest (biology)PsychologyScale (ratio)Mathematics educationSignificant differencePedagogyMedical educationMedicine

Abstract

fetched live from OpenAlex

The study aims to investigate the effect of “Physical Education and Sport Culture” (PESC) course on the attitudes of preservice classroom teachers towards physical education and sports. The one group pre-test post-test design among experimental models which is included in quantitative research designs was employed in the study. The study was conducted on a total of 90 sophomores (66 female and 24 male) taking PESC course offered in Erzincan University Faculty of Education Classroom Teaching Program during the fall term in 2016-2017 academic year. The “Physical Education and Sports Scale” was used to measure attitudes of students towards physical education and sports both at the beginning and end of the term, and the “personal details form” prepared by the researcher was used for data collection purpose. An analysis of pre-test post-test attitude scores of preservice teachers taking PESC course indicated a significant difference between pre-course (

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 score0.389
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.495
Teacher spread0.463 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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