A Delphi Study on Brain-based Instructional Model in Science UNE ÉTUDE DELPHI SUR LE MODÈLE DE NEURO-PÉDAGOGIE EN SCIENCES
Bibliographic record
Abstract
Development of science instructional model for brain-based learning by using knowledge of the brain to be the tool designed of learning process is now interesting. This study aimed to develop science instructional model for brain-based learning. Delphi method was employed with 18 panel members. The findings can be showed that science instructional model for brain-based learning consisted of five steps of learning organization (PRADA- Preparation, Relaxation, Action, Discussion, and Application). It can provide a framework for science teachers that should be elaborated this instructional model to science classroom and beyond to science education. Keywords: brain-based learning; Delphi technique; instructional model; science learning; science education; teaching model
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.016 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 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; both teacher heads agree on what is shown here.
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".