Aligning Goals for Certification and Professional Growth: Building Cooperation Among Bachelor of Education Programs in Alberta
Bibliographic record
Abstract
This article chronicles a provincial collaboration between ten Bachelor of Education degree-granting universities in Alberta, Canada. This collaboration focused on the newly implemented Teaching Quality Standard (2018) in Alberta and its impact on preservice teacher practicums. Data were collected through curriculum mapping and interviews at each institution. Each institution analyzed their own data and shared themes at a number of group meetings. Two common themes arose: (a) the interconnectedness of practicum and teacher education courses and (b) the role of the Teaching Quality Standard as a development tool within practicum. Key words: teacher education, practicum, teaching quality standard, postsecondary collaboration Cet article relate une collaboration provinciale entre dix universités de l'Alberta, au Canada, qui décernent des baccalauréats en éducation. Cette collaboration s'est concentrée sur la nouvelle norme de qualité de l'enseignement (2018) en Alberta et son impact sur les stages des enseignants en formation initiale. Les données ont été recueillies par le biais de la cartographie des programmes d'études et d'entretiens dans chaque établissement. Chaque établissement a analysé ses propres données et a partagé les thèmes lors de plusieurs réunions de groupe. Deux thèmes communs sont apparus : (a) l'interconnexion des stages et des cours de formation des enseignants et (b) le rôle de la norme de qualité de l'enseignement comme outil de développement dans le cadre des stages. Mots clés: formation des enseignants, stage, norme de qualité de l'enseignement, collaboration postsecondaire
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| 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".