O uso da internet nas salas de aula para o Ensino de Língua Inglesa
Bibliographic record
Abstract
Este trabalho teve como objetivo verificar o uso da Internet nas salas de aula com alunos do Ensino Medio de uma escola na regiao de Marilia e as consequencias resultantes para o ensino-aprendizagem de lingua inglesa, sendo utilizada como metodologia a pesquisa de campo com abordagem qualitativa. Foram realizadas entrevistas com o publico alvo contemplando perguntas abertas e fechadas cujos resultados demonstraram que nesta escola os alunos e professores acreditam na importância do uso da Internet nas salas de aulas para aprendizagem de lingua inglesa. Diante dos dados coletados nesta pesquisa, foi possivel observar que a internet tem sido usada nas salas de aula, e tanto os alunos quanto os professores tem consciencia da necessidade de se inovar no ensino.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".