Teacher Professional Development in Critical Action Pedagogy: A Culturally Responsive Approach
Bibliographic record
Abstract
This paper reports on the recent developments of the Critical Action Learning Exchange (CALE) project, an international network of Professional Learning Communities (PLCs) where teachers are supported to design and enact new forms of critical action curriculum (Carvalho et al., 2021;2022).CALE curriculum is dedicated to empowering students as transformative agents when facing socio-environmental issues (i.e., climate change, social justice, pandemics, economic inequality, etc.) that affect themselves and their communities.This paper presents a comparative analysis of activity-theoretical formative interventions in CALE communities in China, India, and Canada.For each of these enactments, we present the professional development designs and evaluate the efficacy of the interventions by analyzing teacher participation and resulting curriculum products.We close with a discussion of sustainable teacher PLCs and the next steps in the CALE research.
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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 | 0.030 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".