Learning from educators: Implementation of a positive behavior support program targeting challenging behavior in children with autism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Challenging behaviors (CB) are a frequent co-occurring problem in children with autism spectrum disorder (ASD) and hinder their response to recommended interventions such as early intensive behavioral intervention (EIBI). The Prevent-Teach-Reinforce for young children (PTR-YC) program was implemented to meet community-based EIBI educators' training and support needs in managing CB in their day-to-day work with families. Although this positive behavior support program has a strong empirical basis, its implementation by community-based educators has yet to be assessed from a systematic and structured program evaluation perspective. Using Chen's (2015) theoretical framework for program evaluation, this study assessed the quality of implementation of PTR-YC as perceived by 17 educators who received training and supervision on applying PTR-YC among families of children with ASD receiving EIBI services. Educators' post-intervention interviews and questionnaires were analyzed using the logical model for program evaluation to identify obstacles and facilitators to the implementation of PTR-YC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it