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Hanqiang Liu; Xiao Chen; Feng Zhao – Education and Information Technologies, 2024
Massive open online courses (MOOCs) have become one of the most popular ways of learning in recent years due to their flexibility and convenience. However, high dropout rate has become a prominent problem that hinders the further development of MOOCs. Therefore, the prediction of student dropouts is the key to further enhance the MOOCs platform.…
Descriptors: MOOCs, Video Technology, Behavior Patterns, Prediction
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Hickey, Daniel T.; Chartrand, Grant T. – Education and Information Technologies, 2020
Open digital badges are new credentials that can contain specific claims and links to web-enabled evidence, and can then circulate in networks. Badges are helping facilitate broader shifts away from measuring, accrediting, and credentialing "achievement" and towards capturing, validating, and recognizing "learning." A study of…
Descriptors: Information Technology, Networks, Evidence, Competence
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Zulkanain, Nani Amalina; Miskon, Suraya; Syed Abdullah, Norris – Education and Information Technologies, 2020
WhatsApp is one of the most popular and widely used communication platforms today. However, from an application in a few subject areas, this mobile application (app) can be distractive and cause users to lose their focus as it attracts and promotes social interaction among learning communities. In this study, firstly, qualitative research approach…
Descriptors: Computer Software, Guidelines, Social Networks, Pretests Posttests
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K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
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Valtonen, Teemu; Kontkanen, Sini; Dillon, Patrick; Kukkonen, Jari; Väisänen, Pertti – Education and Information Technologies, 2014
This study focuses on upper secondary and vocational level teachers as users of social software i.e. what software they use during their leisure and work and for what purposes they use software in teaching. The study is theorised within a technological pedagogical content knowledge framework, the emphasis is especially on technological knowledge…
Descriptors: Secondary School Teachers, Vocational Schools, Computer Software, Mass Media Use