Inviting Teacher Candidates in Art Education to Become Global Agents for Sustainability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter presents an international arts-based project that empowers teacher candidates to become proactive contributors to sustainable development. This approach was developed through a collaboration with two undergraduate classes at Concordia University, Canada, and Hiroshima University, Japan, in 2021. It features collaborative online work to create a vision statement for advancing the United Nations' Sustainable Development Goals (SDGs) and explores the potential of artistic practices to facilitate teacher candidates becoming oriented toward social activism and in thinking and acting as global agents. The effectiveness and challenges of implementing this approach were demonstrated through case study research with the participating teacher candidates. The case study indicated that the approach is constructive for teacher candidates in terms of gaining opportunities for interaction beyond geographical borders as well as experiencing successful international collaborations that promote transforming their educational perspectives in becoming global agents.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it