Perfil diagnóstico do nível cibercultural de estudantes de graduação para aplicação da metodologia Sala de Aula Invertida
Bibliographic record
Abstract
As Tecnologias Digitais, juntamente com o ciberespaço tornam-se aliados muito importantes no processo de ensino-aprendizagem. Nesse contexto, esse trabalho teve como objetivo, traçar um perfil diagnóstico do nível cibercultural de discentes matriculados em uma disciplina em um curso de graduação para verificar a viabilidade da aplicação da metodologia Sala de Aula Invertida. Para traçar esse perfil, disponibilizamos um questionário aos estudantes matriculados na disciplina resultando em 20 questionários respondidos. Com os resultados podemos concluir que todos os sujeitos da pesquisa que responderam ao questionário possuíam um nível satisfatório de dromoaptidão que permitisse a aplicação da metodologia ativa proposta.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".