Leveraging Student Data to Assess, Inform, and Develop Teachers Capacities
Bibliographic record
Abstract
This quantitative study analyzed 47 survey responses to gauge in-service, pre-licensed teacher, and paraprofessional perceptions of cultural competency. Participants responded to the Central Vancouver Island Multicultural Society’s Cultural Competence Self-Assessment Checklist (Alpha = 0.7) to explore their awareness, knowledge, and skills in cultural competency. Moreover, through the application of Culturally Responsive Teaching (CRT) as a theoretical framework, this study highlighted how these perceptions related to culturally responsive teaching and provided several implications for their future preparation to further develop their cultural competency through the tenets of CRT. The analysis identified participant unfamiliarity with privilege and its impact, as well as the multidimensional nature of culture. Additionally, analysis highlighted a lack of understanding around how to authentically engage with students and their families in an inclusive and comprehensive orientation. These findings indicated several potential considerations for their preparation moving forward to better develop their cultural competencies and culturally responsive teaching.
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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 | 0.015 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".