Experiences of Artists and Artist-Teachers Involved in Teacher Professional Development Programs
Bibliographic record
Abstract
This research explores the experiences of artists and artist-teachers involved in two professional development programs for arts education: a national Canadian program and a state-wide American program. Both programs aim to help classroom teachers develop ways of teaching in and through the arts by interacting with partnering artists and/or arts organizations. Based on survey data and interviews with artists, artist-teachers, teachers, and administrators, the paper outlines the experiences of artists and artist-teachers who had been involved in the programs for at least two years. The main themes developed through this research were: (1) how artists ’ views of their art forms were altered, (2) what the artists viewed as challenges of contemporary public education, (3) how artists’ views of the teaching profession were altered, and (4) how artists articulated the benefits of the arts in young people’s lives. The paper closes with a discussion of issues to consider when designing professional
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.013 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".