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The Design of College Ideological and Political Teaching System Based on Online and Offline Mixed Mode

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

Abstract

The current design of the college ideological and political teaching system has a low amount of stored data, resulting in a small teaching range. In order to solve the above problems, a new college ideological and political teaching system based on the online and offline hybrid mode was designed. Using TS-6 flash data memory, the data memory is mainly composed of bus, data interface, single-chip microcomputer, and signal receiving module. The single-chip microcomputer uses a 64 G memory model with an area of 5 mm * 5 mm, which occupies a small area inside the system. It also provides a larger storage space for the data memory to ensure the smoothness of the system. The collector is mainly composed of DSZ6852 chip, clock, data interface and other small parts. DSZ6852 chip adopts 8-channel 16-channel mode to complete data transmission. It has resource video channels, audio channels, text channels, etc. to meet different resource types and improve data. The speed of collection. Realize software workflow through resource transcoding, resource push, online learning, and push information. The experimental results show that the college ideological and political teaching system based on the online and offline hybrid mode has a higher storage capacity and a wider teaching range.

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Authors and Affiliations

  1. Department of Foundational Courses, Shenyang Institute of Science and Technology, Shenyang, 110167, China

    Fang Liu

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  1. Fang Liu
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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Hunan Normal University, Changsha, China

    Shuai Liu

  3. Hunan Normal University, Changsha, China

    Jianhua Dai

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

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Liu, F. (2021). The Design of College Ideological and Political Teaching System Based on Online and Offline Mixed Mode. 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_29

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  • DOI: https://doi.org/10.1007/978-3-030-84383-0_29

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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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