AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy

This study investigates how cognitive, affective, and behavioral variables related to artificial intelligence (AI) build AI self-efficacy among university students. Based on these variables, we identify three meaningful student groups, which can guide educational initiatives. We recruited 1465 under...

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Detalhes bibliográficos

Principais autores:	Arne Bewersdorff, Marie Hornberger, Claudia Nerdel, Daniel S. Schiff
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-06-01
coleção:	Computers and Education: Artificial Intelligence
Assuntos:	Artificial intelligence AI literacy AI self-efficacy AI education Higher education Structural equation model
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666920X24001437
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