Study on Learning Analytics Data Collection Model using Edge Computing
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2021 by IJETT Journal|
|Year of Publication : 2021|
|Authors : Myung-Suk Lee, Joo-Hwa Lee, Ju-Geon Pak
|DOI : 10.14445/22315381/IJETT-V69I4P221|
MLA Style: 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 69.4(2021):142-145.
APA Style: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, 69(4),142-145.
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.
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Learning Analytics, Edge Computing, Smart Toys, Smart Learning, Intelligent Tutoring System.