The Effects of Gum Chewing on Classroom Performance in Children with ADHD: A Pilot Study
Bibliographic record
Abstract
A four-week single subject (A-B) research design examined the effects of gum chewing on classroom performance in two 2nd grade boys with a diagnosis of ADHD. This study focused on three variables: on-task behaviors, task completion, and quality of work. Data, using visual analogue scales, on these three variables were collected during 12 writing periods. The researcher observed and documented the participants’ on-task behaviors, and the teacher scored the participants’ quality and amount of work completed on writing assignments. Visual analysis and 2-standard deviation band methods were used to compare the participants’ performance when gum was not chewed to the participants’ performance when gum was chewed. The findings are inconclusive due to multiple limitations of the study. However, emerging secondary findings suggest that the child’s needs, environment, and task demands may be important components to take into account when implementing gum as a sensory-based intervention strategy. Future research on the use of gum chewing for children diagnosed with ADHD in classroom settings is needed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".