Caregiver Educators' Perspectives on Their Experiences with Professional Development Within the Ontario Autism Program
Bibliographic record
Abstract
In the Canadian province of Ontario, autism services are available to children and youth with Autism Spectrum Disorder (ASD) and their families through the Ontario Autism Program (OAP). A crucial component of this program is caregiver education, and the primary professional involved in delivering this service is the caregiver educator. While other education sectors, such as K-12 teachers, have established a consensus on indicators of quality professional development, the same cannot be said for caregiver educators within the OAP. This study used focus groups to gain insight on the perspective’s caregiver educators have regarding professional development available to them. Through constant comparison analysis, three prominent themes emerged: Consensus on Inadequacies, Emergent Positive Signals, and Balanced Outlook. Overall, caregiver educators expressed general dissatisfaction with many aspects of the professional development opportunities provided to them. Despite this issue, a few positive instances with respect to Indigenous cultural competence training, and adult learning were highlighted. The theme Balanced Outlook includes pragramatic suggestions for improvement. Recommendations for practice include a professional learning plan for newly hired caregiver educators, an annual professional conference, and an advisory group to inform professional development. Implications for practice extend to the provincial ministry overseeing the program, senior administrators responsible for caregiver education, and curriculum developers dedicated to supporting quality professional development initiatives. Keywords. professional development, Ontario Autism Program, caregiver educator
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".