The Analysis of Metaphorical Perceptions of Teachers Related to Teachers in terms of Teaching Approaches They Adopt
Bibliographic record
Abstract
This research aimed to determine the metaphorical perceptions of class teachers and reveal whether these perceptions are affected by the teaching approaches they adopt. Because teachers’ opinions were collected in written form, this study is a descriptive survey model study. The participants of the study consisted of 64 class teachers chosen through the maximum variety sampling method. A data collection tool consisting of two open-ended questions was developed to determine the metaphors and educational approaches teachers adopt. According to research results, teacher metaphors are highlighted in two categories as “metaphors giving active roles to the teacher” and “metaphors giving passive roles to the teacher”. Generally, teachers adopted one of the behaviouristic, cognitive, and constructivist approaches. This study revealed that participants who adopted behavioural and cognitive educational approaches produced metaphors giving active roles to the teacher. Participants who adopted the constructivist educational approach produced metaphors giving passive roles to the teacher. It was determined that there is a strong significant relationship between the metaphors that teachers produce and the educational approach they adopt.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".