Prospective Teachers’ Views on Practitioner Teacher’s Attitude in Processes of Observation Made on Teaching Practice
Bibliographic record
Abstract
Setting as the targeting the education of individuals in terms of intellectual, perceptual and emotional aspects as a whole places the visual arts education, which is one of the fields of education, at an important position. That is due to the fact that the individual who has aesthetical perception development through fine arts education learns how to perceive new forms and to view his/her environment and artistic structures from a different perspective. Thus, the individual makes progress in his/her intellectual endeavors, and also enhances his/her creativity and builds social habits in this connection. This importance attached to visual arts education demonstrates the necessity of raising qualified visual arts teachers. The fact that teaching is a profession which is perfected through the establishment of the link between theory and practice makes worth analyzing the process of teaching practice and attitudes and guiding behaviors of practitioner teacher who is placed at the closest position to the prospective teacher in this process. In this research, the focus was placed on attitudes which practitioner teachers were supposed to demonstrate in observation processes which played a crucial role in occupational development of prospective teachers during teaching practice. These attitudes were addressed in the framework of guiding behaviors which were supposed to be beneficial to prospective teachers in observation processes.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".