Perspectives of Canadian Teacher Candidates on Inclusion of Children with Developmental Disabilities: A Mixed-Methods Study
Bibliographic record
Abstract
This mixed-methods study reports on the perspectives of 208 teacher candidates on teaching children with developmental disabilities and delays (DD) in inclusive classrooms from Kindergarten to Grade 6. The questionnaire included items on demographics, experience, knowledge, and feelings of competence, advocacy, and sense of efficacy. Open-ended questions addressed challenges and successes experienced when including children with DD. Findings suggest that qualitative items elicited more positive responses than traditional questionnaire items and elicited more nuanced and sophisticated understanding of the challenges and successes associated with social inclusion. In the qualitative data, respondents showed understanding of dilemmas associated with inclusive education. Feelings of competence about teaching children with DD and about collaborating with colleagues predicted general sense of efficacy scores; those with experience advocating for individuals with disabilities reported greater knowledge, experience, and confidence related to teaching students with DD. Knowledge, experience, and confidence were highly correlated. Implications for teacher education are discussed.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".