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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
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Agrati, Laura Sara; Burgos, Daniel; Ducange, Pietro; Limone, Pierpaolo; Pecori, Riccardo; Perla, Loredana; Picerno, Pietro; Raviolo, Paolo; Stracke, Christian M. – Education Sciences, 2021
In this paper, we report the scientific experience of HELMeTO 2020, the second edition of the International Workshop on Higher Education Learning Methodologies and Technologies Online, held virtually in Bari (Italy) in September 2020 because of the COVID-19 pandemic. The call received 59 proposals from nine countries, 39 papers were accepted to…
Descriptors: Distance Education, Higher Education, Electronic Learning, Technology Uses in Education
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Burgos, Daniel; Corbí, Alberto – Distance Education, 2018
Transgenic learning is a disruptive approach in education. It encourages modification of moving parts of the educational chain. This article provides a view of transgenic learning focused on the delivery of enriched learning contents in STEAM areas. It discusses the mutagenic role that the virtual containers may play in current distance education.…
Descriptors: Foreign Countries, STEM Education, Art Education, Resource Units
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Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data