K-12 Teachers' Perceptions of Culturally Relevant Pedagogy in Ontario, Canada
Bibliographic record
Abstract
Culturally relevant pedagogy (CRP) is an approach to teaching that emphasizes students’ cultural backgrounds in classroom learning to improve student success, cultural competence, and critical consciousness in culturally diverse learners. Research highlights that using CRP in multicultural classrooms supports the engagement, learning, and achievement of culturally diverse students around the world, but less is known about how K-12 teachers’ perceptions of CRP impact the usage of this practice in their classrooms. This basic qualitative study examined K-12 teachers’ perceptions of CRP in Ontario, Canada, to address this gap in practice and determine why educators are not widely using CRP in their classrooms to support the learning needs of culturally diverse students. The purpose of this research study was to explore K-12 teachers’ perceptions of CRP in Ontario through semistructured interviews to support the learning needs of culturally diverse students. All 11 study participants were certified to teach by the Ontario College of Teachers and were teaching in public schools in Ontario. A priori coding approach was used to analyze data for this research study. The major findings of this study revealed that K-12 teachers communicated high expectations for student success, fostered students’ cultural competence, and promoted positive relationships with parents. Teacher beliefs, CRP resources, and time were all identified as factors that affected the use of CRP in the classroom. One overarching theme was the need for professional development (PD) for teachers on CRP. A 3-day PD plan was developed to address K-12 teachers’ needs to implement CRP with increased effectiveness. This PD plan can contribute to positive social change by increasing K-12 teachers’ understanding and implementation of CRP in classrooms and addressing anti-Black racism in Ontario schools.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".