The Kids4Dementia education program is effective in improving children’s attitudes towards dementia
Bibliographic record
Abstract
Improving children’s understanding of people with dementia is essential for tackling societal stigma around dementia. Kids4Dementia is a teacher-led multimedia dementia education resource for 9–12 year olds (approximately 150 minutes duration). A non-randomised, waitlist-controlled, mixed-methods design examined whether Kids4Dementia was (1) efficacious in improving students” attitudes towards people with dementia and (2) engaging and acceptable for teachers and students. Students who completed Kids4Dementia (n = 136) showed improved scores on the Kids Insight into Dementia Survey, relative to the control school (n = 67), especially students who had not heard of dementia before (Time × Group × Dementia Familiarity interaction, F(1, 191) = 5.28, p = .023, partial η 2 = .027). Qualitative reports indicated that the program was acceptable and engaging for teachers and students and corroborated improvement in student empathy and behavioural intentions towards people with dementia. The findings provide preliminary evidence for the efficacy of Kids4Dementia as an engaging, stakeholder-directed, curriculum-aligned dementia education program.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".