Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/146322
Title: Special issue “Towards a higher education of the future : transformational roles of edge intelligence”
Authors: Doshi, Ruchi
Hu, Yu-Chen
Garg, Lalit
Fagbola, Temitayo
Keywords: Education, Higher -- Effect of technological innovations on
Edge computing
Artificial intelligence -- Educational applications
Issue Date: 2024
Publisher: Elsevier
Citation: Doshi, R., Hu, Y. C., Garg, L., & Fagbola, T. (2024). Special issue “Towards a higher education of the future: Transformational roles of edge intelligence”. Array, 22, 100332.
Abstract: Higher Education of the Future (HEF) is anticipated to be a scalable educational framework that is driven by new digital learning architectures and platforms, as well as collaborative learning systems, that are able to completely guarantee self-paced, customizable, personalized and flexible teaching/learning experiences. The HEF concept strongly points toward a “learning from everywhere” model. The need for HEF is motivated, among other things, by the fact that most state-of-the-art higher education system models currently being used for driving and transitioning higher education are structurally, socially, and technologically incapacitated to meet the key requirements towards delivering a foreseeable smart, real-time intelligence driven HEF. [excerpt]
URI: https://www.um.edu.mt/library/oar/handle/123456789/146322
Appears in Collections:Scholarly Works - FacICTCIS



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