ENSINO DA LÍNGUA INGLESA EM TEMPOS DE ENSINO REMOTO
Bibliographic record
Abstract
A educação na pandemia passou a pautar as discussões de especialistas na área, pois o ensino remoto se tornou o caminho para manutenção dos alunos na prática e no aprendizado escolares. Os professores de Língua Inglesa da educação básica tiveram que adaptar as suas estratégias para o ensino remoto, para promover a aprendizagem dos alunos. O objetivo geral deste estudo é discutir sobre a prática de ensino de Língua Inglesa na modalidade de ensino remoto. Este estudo se qualifica como uma pesquisa bibliográfica. O desenvolvimento deste estudo se embasa na importância de se repensar as práticas e pedagógicas e todos os componentes do processo de ensino-aprendizagem neste cenário de pandemia de novo coronavírus. O ensino de língua inglesa na modalidade ensino remoto passou por modificações em suas práticas pedagógicas, em decorrência do distanciamento social decretado na situação pandêmica do novo coronavírus no país.
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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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".