Efficacy Trial of Contrasting Approaches to the Response-Contingent Learning of Young Children with Significant Developmental Delays and Multiple Disabilities
Bibliographic record
Abstract
Findings from a randomized control design efficacy trial of an asset-based vs. needs-based approach to the response-contingent learning of infants and toddlers with significant developmental delays and disabilities who did not use instrumental behavior to produce or elicit reinforcing consequences are reported. The investigation included 71 children randomly assigned to the two contrasting types of interventions. The asset-based intervention and needs-based intervention differed in terms of how child behavior were identified and used to elicit reinforcing consequences as part of response-contingent learning games implemented by the children’s parents or other primary caregivers. Children in the asset-based group were provided more learning opportunities, acquired more response-contingent behavior, and demonstrated more efficient learning compared to children in the needs-based group. Implications for improving practices for very young children with significant developmental delays and multiple disabilities are described.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".