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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Special issue Towards a higher education of the future transformational roles of edge intelligence.pdf | 251.05 kB | Adobe PDF | View/Open |
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