Artificial intelligence self-efficacy: Scale development and validation
Artificial intelligence self-efficacy: Scale development and validation
Yu-Yin Wang,Yu-Wei Chuang
2023 · DOI: 10.1007/s10639-023-12015-w
Education and Information Technologies : Official Journal of the IFIP technical committee on Education · 253 Citations
TLDR
The scale is found to have good fit, reliability, convergent validity, discriminant validity, content validity, and criterion-related validity, and nomological validity is built by the positive correlation between the AISE construct and motivated learning behaviors.