2022
DOI: 10.1007/978-3-031-11644-5_18
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Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners)

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Cited by 3 publications
(5 citation statements)
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“…As a Learning Analytics solution, paper #5 [15] explains that it is possible to improve learning materials and tools and provide relevant feedback to learners, instructors, and other stakeholders. Paper #8 [16] reported good results in the experiments aiming to predict at real-time student failure. Lastly, paper #9 [19], in turn, claims that "paper-digital integration can help us preserve the benefits of writing while keeping digital systems informed about student learning.…”
Section: What Benefits Were Reported?mentioning
confidence: 99%
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“…As a Learning Analytics solution, paper #5 [15] explains that it is possible to improve learning materials and tools and provide relevant feedback to learners, instructors, and other stakeholders. Paper #8 [16] reported good results in the experiments aiming to predict at real-time student failure. Lastly, paper #9 [19], in turn, claims that "paper-digital integration can help us preserve the benefits of writing while keeping digital systems informed about student learning.…”
Section: What Benefits Were Reported?mentioning
confidence: 99%
“…The former analyses data using deep learning, the latter mainly manually. Finally, in paper #8 [16], regarding the better use of networks, the authors use Edge Computing and a federated machine learning model for data analysis. Figure 1 summarize this information.…”
Section: Which Techniques/algorithms Were Applied?mentioning
confidence: 99%
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