Developing an online community of practice: a case study of professional development needs for ESL practitioners working with the Canadian Language Benchmarks
Bibliographic record
Abstract
This case study explored the potential for development of an online community of practice for the Canadian Language Benchmarks. Participants included 10 teachers, 2 teacher administrators, 1 assessor and 1 teacher resource staff from 2 LINC centres and 1 organization offering adult ESL instruction in the Toronto area. Results from a questionnaire, focus group interviews, and semi-structured individual interviews indicated the participants thought that current approaches to professional development would benefit from integrated models and theories of teacher education. Results suggest the need for a professional learning framework for ESL practitioners to further their professional knowledge and skills. Findings also revealed primary barriers to technology-supported professional development in terms of cost, time, users' motivation and attitudes in addition to factors related to format and design standards. A number of recommendations were made for the development of an online community of practice for the Canadian Language Benchmarks.
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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 | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| 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".