Report of an experience: self-study to foster self-regulated learning for International Dental Degree Program (IDDP) students in Canada
Bibliographic record
Abstract
Este artigo objetivou descrever brevemente uma experiência com a metodologia de estudo autônomo realizada no Programa de Graduação Internacional de Odontologia (IDDP) em uma Universidade no Canadá. Esta abordagem encorajou o aprendizado autorregulado dos estudantes. Devido à pandemia COVID-19 as aulas “on-site” da faculdade de odontologia foram descontinuadas. Os estudantes do programa IDDP eram permitidos frequentar o prédio da faculdade somente para realizar as atividades pré-clínicas (e eram supervisionados por apenas um professor de cada vez). Como a turma de 2020 do programa IDDP era pequena (2 alunos), o diretor do programa e os professores consideraram que o estudo autônomo seria uma ideia apropriada. Percebeu-se que os estudantes tiveram sucesso em autorregular o aprendizado. Como por exemplo: usaram suas anotações, monitoraram a compreensão do material teórico disponibilizado, fizeram perguntas etc. A experiência com os estudantes do programa IDDP mostrou que a oportunidade de estudo autônomo se caracterizou como um ambiente favorável para os professores usarem nas disciplinas pré-clínicas.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".