Online training module to reduce stigma and improve knowledge about autism in pre-service teachers: Cross-cultural comparison of Hong Kong and Canada
Bibliographic record
Abstract
Stigma and attitudes toward the inclusion of autistic students have primarily been investigated in Western countries. Little remains known about factors that shape these perspectives about autistic students cross-culturally. Using a cross-cultural sample of pre-service teachers from Hong Kong and Alberta, Canada, we aimed to evaluate if participation in an online autism training is associated with improved autism knowledge, stigma, and attitudes toward inclusion. We also explore cultural factors associated with autism stigma. A total of 55 and 57 pre-service teachers from Canada and Hong Kong, respectively, completed an online training module that included research-based information about autism and neurodiversity. Participants completed measures assessing autism knowledge, stigma, and attitudes toward inclusion before and after the training and answered open-ended questions about their perceptions of autistic people and their families. Results showed that, across countries, participation in training was associated with increased autism knowledge, more positive attitudes toward inclusion, and reduced stigma. In both countries, lower autism stigma was associated with higher autism knowledge, more confidence educating autistic people, heightened appreciation of biodiversity, and lower social dominance orientation. Despite having more prior experience educating autistic people, participants in Hong Kong reported higher autism stigma and exhibited lower autism knowledge than their counterparts in Canada. Compared to Canada, participants in Hong Kong exhibited more misconceptions and stereotypes about autism and described community members as treating autistic people and their families with less respect. Understanding educators’ knowledge and attitudes toward autism cross-culturally can inform training needs and approaches that work for specific cultures. • We investigated preservice teachers’ stigma, attitudes, and knowledge toward autistic students across Hong Kong and Canada. • Participation in an online training was related to improved autism knowledge, attitudes, and stigma cross-culturally. • Preservice teachers from Hong Kong reported more misconceptions, stereotypes, and community stigma towards autism. • Cultural factors and local contexts need to be considered in trainings for educators from different cultures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".