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Direct linkCosentino, Giulia; Giannakos, Michail – IEEE Transactions on Learning Technologies, 2023
Smart learning environments (SLEs) leverage technological developments to enable effective, engaging, and personalized learning. SLEs rely on sensor and advanced interconnectivity capabilities to infer and reason. A natural set of affordances for SLEs are those of multisensory environments (MSEs). MSEs enable humans to make full use of their…
Descriptors: Multisensory Learning, Technology Uses in Education, Educational Environment, Literature Reviews
Chen, Xieling; Zou, Di; Xie, Haoran; Wang, Fu Lee – IEEE Transactions on Learning Technologies, 2023
Research on Educational Metaverse (Edu-Metaverse) has developed into an active research field. Based on 310 academic papers published from 2004 to 2022, this study identifies contributors, scientific cooperations, and research themes using bibliometrics, social network analysis, topic modeling, and keyword analysis. Results suggest that…
Descriptors: Computer Simulation, Technology Uses in Education, Bibliometrics, Social Networks
Tabuenca, Bernardo; Serrano-Iglesias, Sergio; Martin, Adrian Carruana; Villa-Torrano, Cristina; Dimitriadis, Yannis; Asensio-Perez, Juan I.; Alario-Hoyos, Carlos; Gomez-Sanchez, Eduardo; L. Bote-Lorenzo, Miguel; Martinez-Mones, Alejandra; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2021
Smart learning environments (SLEs) have gained considerable momentum in the last 20 years. The term SLE has emerged to encompass a set of recent trends in the field of educational technology, heavily influenced by the growing impact of technologies, such as cloud services, mobile devices, and interconnected objects. However, the term SLE has been…
Descriptors: Affordances, Electronic Learning, Educational Technology, Educational Trends
