Online training module to reduce stigma and improve knowledge about autism in pre-service teachers: Cross-cultural comparison of Hong Kong and Canada
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».