Attitudes of Physical Education and Classroom Teacher Candidates towards Teaching Profession in Turkey
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".