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Design of Ideological and Political Network Teaching Assistant System Based on ZigBee

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e-Learning, e-Education, and Online Training (eLEOT 2023)

Abstract

The existing teaching assistance systems mostly focus on the development of individual applications, such as roll call systems and homework systems, and few have developed a complete set of teaching assistance systems. In view of this, design a ZigBee based ideological and political network teaching assistance system. The focus is on researching wireless communication modules based on ZigBee technology. ZigBee has advantages such as low power consumption, wide network coverage, and strong self-healing ability, which can achieve efficient communication of the system. On this basis, the login function interface, teacher red pen correction module, resource learning module and Electronic assessment module are designed to achieve the functions of resource upload, homework correction and so on. The system test results show that the system pages can adjust with the screen size. When the concurrent volume of virtual users and teachers gradually increases, the system can respond to teacher operations normally, with an average response time of less than 5000ms. The failure only occurs when the pressure reaches 290, which has high security and can effectively prevent information leakage.

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Aknowledgement

1.Anhui Province first-class course “Introduction to Mao Zedong Thought and Theoretical System of Socialism with Chinese Characteristics” social practice course (2020xsxxkc331).

2.Quality Engineering Project of Department of Education, Anhui Province: Research on the Teaching Model of Bisection Class in the Intelligent Classroom Environment take financial management section for example (2021jyxm1120);

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Correspondence to Jing Luo .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Luo, J., Guan, Y. (2024). Design of Ideological and Political Network Teaching Assistant System Based on ZigBee. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-51465-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-51465-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51464-7

  • Online ISBN: 978-3-031-51465-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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