Instructing Parents to Deliver Discrete Trial Teaching to Their Children with Autism Spectrum Disorder in Korea
Bibliographic record
Abstract
The purpose of this study was to evaluate the effects a parent training programin Korea using the Teacher Performance Rate Accuracy Scale (TPRA)during training and video self-monitoring on the rates of accurate discretetrial Teaching (DTT) and children’s correct responses. The study was conductedin an early intensive behavior intervention (EIBI) program of a publicchildren’s hospital in Korea. Two mothers who had children enrolled in theEIBI services participated in the study. A delayed multiple baseline acrossparticipants design was used. The training program consisted of individualcoaching with therapist-conducted TPRAs and group instruction on parentself-monitoring using TPRA for self-evaluations. Results indicated thateach parent’s average rates of accurate DTT presentations increased and therates of error presentation decreased after the intervention. As a result, theirchildren’s average percentage of correct responses increased during interventionand maintained after intervention. Results of this study suggest that thistraining program is promising and has potential for a large-scale implicationin Korea.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".