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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
Koroghlanian, Carol M.; Brinkerhoff, Jonathan – Journal of Educational Technology Systems, 2008
Learner analysis and needs assessments are basic elements of all instructional design models and are of concern to those designing distance education courses. This investigation surveyed 249 geographically dispersed online students' computer skills and attitudes toward Internet-delivered instruction. Results were assessed by demographics. Results…
Descriptors: Computer Uses in Education, Educational Technology, Internet, Graduate Students
