The Views of Prospective Teachers about School Experience Course in the Department of Science Education and Other Departments
Bibliographic record
Abstract
The aim of this study is to determine the views of the prospective teachers in the Department of Science Education and Other Departments about the removal of the School Experience course for the new students who are newly accepted in the undergraduate programs which are updated by the Higher Education Council (HEC) in the 2018-2019 academic year and how the course reflects the teaching profession. The research was carried out with a total of 122 prospective teachers who were selected from the volunteers of the fourth year students of Mathematics and Science Education and Basic Education Departments at the education faculty of a public university in Turkey in the fall semester of 2018- 2019 academic year. In the study, the homogeneous sampling selection was chosen because there were prospective teachers with similar characteristics chosen from the universe and going to the same application school. Interview questions developed by the researchers are used as the main data collection tool and content analysis was done. In the study, the answers obtained from the interview form were themed and interpretations were made based on the results.Keywords: school experience, prospective teachers, teaching profession
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".