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Direct linkNa-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Download full textJoseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
Bahman Gorgian; Farzaneh Mir; Batool Nasiri – Iranian Journal of Language Teaching Research, 2025
The evaluation of in-service teacher educators ' feedback on using Computer-Assisted Language Learning (CALL) processes is important for providing educational policymakers with the strengths and weaknesses of the Vadana platform. It proposes an integrated CALL evaluation scale (ICES) eliciting the in-service teacher educators' literacy of using…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teacher Educators
