O Design Instrucional e seu uso como Arquitetura Pedagógica: Uma Análise das Publicações em Informática na Educação no Brasil
Bibliographic record
Abstract
O Design Instrucional (DI) apresenta-se como uma metodologia de apoio ao planejamento educacional de cursos e aulas através da web.. Outro processo de planejamento educacional é verificado com o uso de Arquiteturas Pedagógicas (AP). Portanto, esse artigo tem a finalidade aplicar o DI como AP, para isso, foi necessário realizar um mapeamento entre as características de ambas as abordagens. Além disso, por meio de um mapeamento sistemático, foi caracterizado o uso do DI em Informática na Educação no Brasil. O resultado apresentou uma baixa quantidade de estudos relacionados a temática do DI, por outro lado, a observação do uso do DI apresentou-se coerente, pois há características semelhantes em ambas as abordagens
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".