2021
DOI: 10.1155/2021/7358874
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Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic

Abstract: The 2019–2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as education is concerned, one direct result of the spread of the pandemic was the resort to suspending traditional in-person classroom courses and relying on remote learning and homeschooling instead, by exploiting e-learning technologies, but many challenges are fac… Show more

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Cited by 21 publications
(13 citation statements)
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References 21 publications
(30 reference statements)
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“…In the network autonomous learning system, the student online learning behavior evaluation subsystem is shown in Figure 7, and various modules need to be included to ensure the system evaluation function [19].…”
Section: Architecture Of the Behavior Evaluation Systemmentioning
confidence: 99%
“…In the network autonomous learning system, the student online learning behavior evaluation subsystem is shown in Figure 7, and various modules need to be included to ensure the system evaluation function [19].…”
Section: Architecture Of the Behavior Evaluation Systemmentioning
confidence: 99%
“…With sports rivalry among people and among groups being tight and close, people and groups all set the additional mile to further develop execution and achieve the additional benefit. To distinguish strategies and techniques to rule over, the resistance has prompted the beginning of sports sciences [24][25][26]. Sports sciences do not just arrange with sports overall yet is intended to investigate which implies for upgrading execution in more explicit athletic ability (Danish, 1992).…”
Section: Application Of Sciences In Sportsmentioning
confidence: 99%
“…The decision variable is the available bandwidth yw i ðsÞ allocated to each user, and the function gð•Þ in formula (16) is the bit rate level that the user client will apply for after allocating the corresponding bandwidth [21].…”
Section: Bandwidth Allocation Model For Multiuser Qoe Fairnessmentioning
confidence: 99%