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Record W2968146324 · doi:10.5430/wje.v9n4p41

Physical Education Teachers’ Using of Teaching Styles Levels and Their Perceptions Towards Styles in Public and Private Schools in Turkey

2019· article· en· W2968146324 on OpenAlexvenueno aff
Mehtap Yıldız, Ömür Fatih Karakullukçu

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishPhysical educationMathematics educationPsychologyPerceptionData collectionSimple random sampleTest (biology)PedagogyMedical educationSociologySocial scienceMedicinePopulation

Abstract

fetched live from OpenAlex

The purpose of this research is to determine the using of teaching styles of physical education teachers in public andprivate schools in Turkey and related to these styles to find out the value perceptions. The research was performedout with survey model. The research group consisted of simple random sampling method based on the probabilitysampling methods 2017-2018 Academic Year in Turkey in Kayseri province 109 of them work at public schools and47 of them work at private schools and totally 156 physical education teachers. As the data collection tool the“Physical Education Teachers Use of Teaching Styles and Perceptions of Styles Questionnaire”, developed byKulinna and Cothran (2003) and adapted to Turkish by Ince and Hunuk (2010), was used in the research. In theanalysis of the data the Arithmetic mean, standard deviation, independent t-test and variance analysis tests were usedfor repeated measurements. The meaningfulness level was adopted as α=0.05. As a result of the research, it wasdetermined that physical education teachers in public and private schools use teaching centered teaching styles.

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 score0.077
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.100
GPT teacher head0.463
Teacher spread0.363 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

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