Web-Based Intervention for Teachers of Elementary Students With ADHD: Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: To test the acceptability, satisfaction, and effectiveness of a web-based intervention for teachers of elementary school-aged children with ADHD. METHOD: Elementary classroom teachers (N = 58), along with their students with ADHD, participated in a randomized controlled trial. The program consisted of six sessions that included evidence-based intervention strategies for reducing ADHD symptoms and impairment in the classroom setting. Teachers also had access to a moderated Discussion Board and an online ADHD coach. Questionnaire data were electronically collected from teachers and parents pre-intervention, post-intervention (6 weeks), and after an additional 6-week follow-up. RESULTS: Intent-to-treat analyses found significant improvements based on teacher (but not parent) reports of core ADHD symptoms and impairment for the Teacher Help for ADHD treatment group. Teachers reported a high level of acceptability and satisfaction. CONCLUSION: Web-based ADHD interventions have the potential to reduce the barriers to treatment utilization and implementation that are common problems for school-based ADHD interventions.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".