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Tlili, Ahmed; Huang, Ronghuai; Shehata, Boulus; Liu, Dejian; Zhao, Jialu; Metwally, Ahmed Hosny Saleh; Wang, Huanhuan; Denden, Mouna; Bozkurt, Aras; Lee, Lik-Hang; Beyoglu, Dogus; Altinay, Fahriye; Sharma, Ramesh C.; Altinay, Zehra; Li, Zhisheng; Liu, Jiahao; Ahmad, Faizan; Hu, Ying; Salha, Soheil; Abed, Mourad; Burgos, Daniel – Smart Learning Environments, 2022
The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it as Meta. While several studies conducted literature reviews to summarize the findings related to the Metaverse in general, no study to the…
Descriptors: Computer Simulation, Technology Uses in Education, Artificial Intelligence, Educational Benefits
Yu, Eunjyu – Journal of Educators Online, 2020
This article identifies factors that help Generation Z students succeed in a fully online learning environment for communication skills. Out of a diverse number of learner characteristics, the learners' home institutions significantly impacted their preference for instructional delivery modality. The participants described a flexible schedule and…
Descriptors: Electronic Learning, Age Groups, Online Courses, Blended Learning
Ash, Barbara Lee – Journal of Applied Research for Business Instruction, 2015
Engaging "digital natives" presents challenges and opportunities for both the classroom teacher and for trainers in the workplace, many of whom are "digital immigrants." The learning styles, interests, values, and the Millennial learner's unique alignment with technology present opportunities to engage this generation in new…
Descriptors: Social Media, Learner Engagement, Age Groups, Cognitive Style