STEAM Pedagogy to Promote 21st Century Skills: A Poetry Unit Plan for Grade 9 Ontario English Classrooms
Bibliographic record
Abstract
The purpose of this research project was to create a handbook for Ontario-based English teachers interested in incorporating STEAM-based pedagogy (science, technology, engineering, arts, and math) to promote students’ 21st century skills. The handbook is a Grade 9 poetry unit plan that meets the curriculum expectations of Ontario’s Grade 9 English course, ENL1W, as well as curriculum expectations in other Ontario Grade 9 courses across the STEAM disciplines. A review of curriculum documents, along with a comprehensive literature review on STEAM pedagogy revealed a gap regarding translating the theory of interdisciplinary integration into practice in secondary subject areas, where courses are typically taught as discrete subjects. Therefore, this handbook was created to address this literature gap by providing high school teachers with a hands-on resource they may use to implement an integrated, STEAM-based unit. The unit plan was reviewed by Ontario English teachers and found to be helpful in both teaching and assessing English, STEAM subjects, and 21st century skills. Future research projects may build on this work by creating similar resources for other grade levels or disciplines, and exploring their impact on teaching and learning experiences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".