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Design of English Listening Simulation Teaching System Based on Cloud Computing

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e-Learning, e-Education, and Online Training (eLEOT 2021)

Abstract

In the design of traditional analog teaching system, the design is usually based on the Moodle framework, which requires a lot of calculations, which makes the host computer occupancy rate of the teaching system higher. Therefore, this research designed a new English listening simulation teaching system based on cloud computing. In the hardware, the PC host is removed and the RS484 converter is added to perform serial port control conversion. In the software program, first use the cloud computing service framework to construct the system framework, and draw up the connection process of the system server. Set up ordinary nodes and super nodes with different functions on the system nodes, and then establish the user’s collaborative filtering operation and the collaborative filtering operation of the teaching item, and thus complete the design of the teaching system. In order to verify the effectiveness of the above-mentioned teaching system, a simulation test experiment is designed. The English listening course resources of a school are imported into the system, and the performance of the teaching system is tested. The test results show that the host occupancy rate of the teaching system is low, which meets the original intention of the design.

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Correspondence to Fa-li Mi .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mi, Fl., Yuan, Jw. (2021). Design of English Listening Simulation Teaching System Based on Cloud Computing. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-84383-0_31

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  • DOI: https://doi.org/10.1007/978-3-030-84383-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84382-3

  • Online ISBN: 978-3-030-84383-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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