Bridging the Gap between Curriculum Planning Policies and Pre-service Teachers’ Needs
Bibliographic record
Abstract
The challenge and satisfaction of being a teacher is doubled when one has the precious task of being a teacher trainer, as our practices replicate exponentially, touching the lives of people we do not even get to meet. Accordingly, this article presents the analysis of a process that brought tensions to a teacher training program because of the need to comply with the guidelines of the National Ministry of Education while considering pre-service teachers’ needs. Thus, a descriptive analysis was done, through a questionnaire, with the objective of portraying pre-service teachers’ perceptions about the curriculum that underlies their teaching training program, and characterizing their contributions in the face of a new curriculum design. The gains obtained out of the participants’ insights were key in understading their feelings and provided a good source of information for the new curriculum. The results suggest that pre-service teachers’ perceptions broaden teacher trainers’ horizons and enrich curriculum planning as a step towards meaningful and inclusive learning.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".