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- W4319978052 abstract "To minimize the pace of transmission of the novel Covid-19 virus, institutions have shifted to e-learning to substitute lectures and assessments in the classroom without being fully ready and technologically equipped. As a result, institutions must identify and employ the most suitable data architecture for their universities. For this purpose, this study first identifies 109 e-learning solution use cases, collects their 983 user reviews from the e-learning industry, and categorizes them according to their data architectures for appropriate comparison using the developed conceptual framework. The finding shows that data-driven and data-centric were the only architectures used by e-learning solutions, it further recommends data-centric as the best suited for e-learning." @default.
- W4319978052 created "2023-02-11" @default.
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- W4319978052 date "2022-11-23" @default.
- W4319978052 modified "2023-09-24" @default.
- W4319978052 title "A Comparison of Data-Driven and Data-Centric Architectures using E-Learning Solutions" @default.
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- W4319978052 doi "https://doi.org/10.1109/icadeis56544.2022.10037358" @default.
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