Art Education in a Transitional Moment: Bridging Academic Theory and Field Practices, Reflecting on Two Decades and Envisioning the Future
Bibliographic record
Abstract
This article examines the evolution of art education in Canada over the past two decades, highlighting the shift from skills-based approaches to broader methodologies centered on “arts-thinking,” integrating visual culture, social justice, and research-creation. Despite these theoretical advancements, the authors observe a disconnect between academic discourse and practical application in schools and communities. To bridge this gap, art educators Marie-Pier Viens and David LeRue share their experiences integrating theory and practice in their respective teaching contexts. Viens discusses collaborative project-based learning in secondary schools, in connection with community artists, emphasizing the development of essential skills and engagement with contemporary issues through art. LeRue explores community-based art education, addressing its potential for fostering arts-thinking among diverse populations outside traditional academic settings. The authors propose closer ties between theory and practice to provide learners with critical thinking skills necessary to engage in contemporary artistic discourse.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.044 | 0.042 |
| Scholarly communication | 0.022 | 0.010 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".