Pay Attention to This: A Knowledge Translation Study of ADHD and its Brain Basis to Preservice and In-Service Teachers
Bibliographic record
Abstract
The purpose of the present study was to develop a knowledge translation (KT) activity for educators about the brain in children and adolescents with attention deficit hyperactivity disorder (ADHD). The goal was to increase our participants’ knowledge about ADHD and its brain basis. In addition to neuroscience content, the KT activity included the personal story of the lead researcher’s lived experience with ADHD to provide context, and to inform the participants’ perceptions of ADHD. Framed in an action research paradigm, our study undertook three cycles of reflection, planning, action, and observation to develop and improve a knowledge translation activity. The knowledge translation activity was presented to 48 preservice and in-service teachers and members of the public across Canada, with a mixed methods approach to evaluate the outcomes. The findings demonstrated that this knowledge translation activity was effective in enhancing participant knowledge about ADHD. Quantitively, a non-significant trend was observed that participants shifted their perceptions from social and behavioural causes to brain-based causes of ADHD. Qualitatively, the participants indicated making connections between the personal story and neuroscience. Effective KT requires a review of context vocabulary and opportunity for teacher interaction. Teachers are aware of several behavioural management strategies but do not have a clear idea of how or why they work. Teaching neuroscience to teachers allows for a discussion of neurodiversity and a strength-based approach to programming and accommodation. This research could help guide future knowledge translation research into the benefits of combining personal lived experience with neuroscience content. Keywords: knowledge translation, neuroscience, attention deficit hyperactivity disorder, lived experience, storytelling, action research, neurodiversity
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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 | 0.012 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".