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Publicação
The interplay between teachers’ trust in artificial intelligence and digital competence
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Orientador(es)
Resumo(s)
This study examines the relation between K-12 teachers’ trust in artificial intelligence (TAI), their knowledge of AI (KAI), and their digital competence (DC). It further examines the relation between TAI and age, sex, teaching experience and International Standard Classification of Education (ISCED) levels. The study employed a comprehensive and validated instrument and used a sample of 211 primary and secondary school teachers. The results show that there is a significant positive relation between all three variables and that KAI is a robust and substantial predictor of TAI. In the absence of KAI, the significant relation between DC and TAI ceases to exist. In addition, teachers with different levels of DC do not show significant differences in their attitudes towards AI. Results further show that TAI is independent of age, sex, teaching experience and ISCED level in this sample of teachers. The study contributes valuable insights into the complex interplay between teachers’ TAI, their KAI, and their DC, providing practical implications for policy, teacher preparation and professional development in the rapidly evolving landscape of AI integration in education.
Descrição
UIDB/05021/2020
UIDP/05021/2020
UIDB/00194/2020
2021.03379.CEECIND, 2022.14365.BD
Palavras-chave
DigCompEdu Machine learning Network analysis Primary and secondary education Professional development Education Library and Information Sciences