Study on Learning Analytics Data Collection Model using Edge Computing

Myung-Suk Lee; Joo-Hwa Lee; Ju-Geon Pak

doi:https://doi.org/10.14445/22315381/IJETT-V69I4P221

Research Article | Open Access | Download PDF

Volume 69 | Issue 4 | Year 2021 | Article Id. IJETT-V69I4P221 | DOI : https://doi.org/10.14445/22315381/IJETT-V69I4P221

Study on Learning Analytics Data Collection Model using Edge Computing

Myung-Suk Lee, Joo-Hwa Lee, Ju-Geon Pak

Citation :

Myung-Suk Lee, Joo-Hwa Lee, Ju-Geon Pak, "Study on Learning Analytics Data Collection Model using Edge Computing," International Journal of Engineering Trends and Technology (IJETT), vol. 69, no. 4, pp. 142-145, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I4P221

Abstract

In this study, we study a learning analytics model using edge computing that can collect learner data generated from various smart toy tools. As a method, a scenario is composed of a learning management system provided to learners, a learning analytics edge node, and a learning analytics cloud server. The learning analytics model of this study aims to overcome the limited situation and provide learning services for support and motivation for developing learners. In this way, we will use edge computing to analyze big data in learning using smart teaching tools, reduce the delay time for feedback, interaction, and response from learning activities, and perform efficient distributed computing. In the future, the proposed model will be developed and applied directly to the field.

Keywords

Learning Analytics, Edge Computing, Smart Toys, Smart Learning, Intelligent Tutoring System.

References

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