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Direct linkRichard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Dogan, Nihan A.; Dawson, Kara; Ritzhaupt, Albert D. – Journal of Educational Technology Systems, 2021
This study used the Technology Use and Perceptions Survey to explore whether there are differences reported by teachers (N = 1,287) from elementary, middle, and high schools from a single school district. A two-step data analysis process using multivariate analysis of variance and item-by-item analysis of variance was employed. We used our…
Descriptors: Elementary School Teachers, Middle School Teachers, High School Teachers, Teacher Attitudes
