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Record W2980703488 · doi:10.5430/wje.v9n5p63

Attitudes of Physical Education and Classroom Teacher Candidates towards Teaching Profession in Turkey

2019· article· en· W2980703488 on OpenAlexvenueno aff
Mehtap Yıldız, Mahmut Gülle

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical educationMathematics educationPsychologyTeacher educationData collectionStatistical analysisMedical educationPedagogySociologyMedicineMathematicsSocial science

Abstract

fetched live from OpenAlex

It is important to determine the attitudes of physical education teacher candidates who will carry out physicaleducation courses in secondary and high schools and classroom teacher candidates who will carry out physicaleducation courses in primary schools. The purpose of this study is to determine the attitudes of physical educationand classroom teacher candidates towards teaching profession. The research was evaluated with a general surveymodel. The research group consisted of totally 280 teacher candidates; 168 of them study at School of PhysicalEducation and Sports in Physical Education and Sports Teaching Department, 122 of them study at the Faculty ofEducation Primary School Teaching Department in the 2017-2018 academic year Hatay Mustafa Kemal Universityin Turkey. As data collection tools Personal Information Form developed by the researchers and the “Attitude ScaleToward Teaching (ASTT)” developed by Erkus (2000) et al. were used. In the statistical analysis of the data, t-testand one-way analysis of variance (ANOVA) were used. In the result of the research, it was determined that theattitudes of physical education and classroom teacher candidates towards teaching profession were high, but it wasfound that physical education teacher candidates had higher attitudes than classroom teacher candidates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.472

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 communication0.0000.001
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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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