Autoavaliação e avaliação pelos pares: uma análise de pesquisas internacionais recentes
Bibliographic record
Abstract
Uma revisão de artigos publicados em dois periódicos internacionais – Assessment and Evaluation in Higher Education e Active Learning in Higher Education – sobre autoavaliação e avaliação pelos pares, nos últimos sete anos (2010-2016), é o objetivo maior deste estudo. Uma análise detalhada dos artigos coloca em evidência diversos benefícios ligados a esses processos de regulação tão presentes no desenvolvimento de metodologias ativas de aprendizagem, como o melhor desempenho dos estudantes nas disciplinas e maior interação entre os membros do grupo. No entanto, limites são também identificados, como a necessidade de realizar retroações claras e pertinentes, assim como de associar os tópicos de estudo, para que esses processos de regulação façam sentido.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".