NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Adeyinka Tella; Yusuf Ayodeji Ajani; Aderinola Ololade Dunmade – Journal of Educational Technology Systems, 2025
The study investigated academics' experience using multimedia technologies for online engagements in the era of the new normal in Nigerian library schools. The study adopted a quantitative method approach using a survey design. The sample was drawn using total enumeration, which included all of the 98 respondents (researchers -- the lecturers in…
Descriptors: Foreign Countries, Library Schools, College Faculty, Multimedia Materials
Peer reviewed Peer reviewed
Direct linkDirect link
Disa Cornish; Zak Larter – Journal of Educational Technology Systems, 2024
ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…
Descriptors: Artificial Intelligence, Student Attitudes, Synchronous Communication, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Ie May Freeman; HeeKap Lee; Richard Barsh – Journal of Educational Technology Systems, 2024
Mixed-reality simulation (MRS) is a new and advanced technology implemented in Educator Preparation Programs (EPP) across the United States. However, more research is needed on the effectiveness of MRS in EPPs and its impact on beginning teacher candidates. This study sought to determine the effect of teacher candidates after utilizing MRS and its…
Descriptors: Computer Simulation, Technology Uses in Education, Teaching Methods, Technological Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Richard 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