Secondary school creativity, teacher practice and STEAM education: An international study
Bibliographic record
Abstract
How creativity in education is applied by teachers to secondary school contexts is dependent on how the term 'creativity' is grounded, politicised, and practised. This paper reports on an international study of secondary schools in Australia, USA, Canada, and Singapore investigating how creativity is understood, negotiated, valued and manifeste d in secondary schools, focusing on teacher and student understandings, actions, benefits and impediments to creative and critical thinking. Participant reflections revealed inter-, trans- and cross-disciplinary learning shaped by teacher collaboration, dialogue and classroom organization that fosters critical and creative thinking. Implications are made for the ways practicing teachers develop and foster creativity via pedagogical approaches that enhance connectivity and interdisciplinarity of teaching practices between domains of learning. An education-based Creativity Index through which administrators and teachers can gauge, assess and implement creative skills, capacities, pedagogic practices and assessment of creativity within secondary schools is posited. Implications for STEM/STEAM education and centralizing creative capacities in teaching, learning, and educational change are offered.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| 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".