O uso pedagógico das Tecnologias da Informação e da Comunicação na formação dos futuros docentes no Quebec
Bibliographic record
Abstract
Será que os docentes que estão sendo formados no Quebec estão prontos para integrar as tecnologias da informação e da comunicação (TIC) num contexto escolar? Para responder a essa pergunta, uma pesquisa foi realizada junto a 2.065 futuros professores, 410 professores associados e 90 supervisores de estágio, oriundos das nove universidades francófonas que oferecem um programa de formação inicial de professores no Quebec (Canadá). Os resultados mostram que os futuros professores têm acesso aos equipamentos necessários para se familiarizar com as TIC e dominam bem as ferramentas tecnológicas básicas. Nossos dados também revelam que as usam, regular e criticamente, para planejar, comunicar, buscar informações, preparar materiais pedagógicos, resolver problemas ou se aprimorar no plano profissional. Apesar desse retrato muito promissor, nossos resultados também indicam que uma proporção muito pequena de futuros professores usa essas tecnologias em sala de aula. Nossa conclusão apresenta algumas recomendações.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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 source (direct Gemma or distilled Codex), 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".