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Design of Online Teaching Resources Sharing System for Computer Specialty Based on Fuzzy Clustering Algorithm

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

Abstract

Conventional online teaching resource sharing system for computer majors mainly uses JE22 open source architecture to deploy resource sharing nodes, which is vulnerable to the impact of software and hardware development efficiency, resulting in abnormal operation of system data synchronization function. Therefore, it is necessary to design a new online teaching resource sharing system for computer majors based on fuzzy clustering algorithm. In the hardware part, STM32F103ZET6 control chip and peripheral circuit of TJA1050 transceiver are designed. In the software part, the online sharing architecture of teaching resources is constructed, the online sharing model of teaching resources is generated using fuzzy clustering algorithm, and the online sharing function module of teaching resources is designed, thus realizing online teaching resources sharing. The system test results show that the data synchronization module of the designed online teaching resource sharing system for computer majors operates normally, which proves that the designed online teaching resource sharing system has good performance, reliability, and certain application value, and has made certain contributions to improving the quality of online teaching for computer majors.

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References

  1. Siegel, V., Moore, G., Siegel, L.: Improving nursing students’ knowledge and assessment skills regarding skin cancer using online teaching resources. J. Dermatol. Nurses’ Assoc. 13(6), 305–308 (2021)

    Article  Google Scholar 

  2. Geng, C., Zhang, J., Guan, L.: A recommendation method of teaching resources based on similarity and ALS. J. Phys. Conf. Ser. 18(4), 420–427 (2021)

    Google Scholar 

  3. Miao, Y.: Online and offline mixed intelligent teaching assistant mode of english based on mobile information system. Mob. Inf. Syst. 15(2), 1–6 (2021)

    Google Scholar 

  4. Ying, H.H., Veerappan, G.: The effect of collaborative strategic reading on ESL students’ reading comprehension through online teaching. Human Res. Manag. Acad. Res. Soc. (HRMARS) 36(3), 461–465 (2021)

    Google Scholar 

  5. Marcus, A.S., Levine, T.H.: Mapping the pandemic: teaching critical map literacy with interactive COVID-19 maps. Soc. Stud. Res. Pract. 16(2), 115–125 (2021)

    Article  Google Scholar 

  6. Huang, S.: Design and development of educational robot teaching resources using artificial intelligence technology. Int. J. Emerg. Technol. Learn. (iJET) 16(5), 56–59 (2021)

    Google Scholar 

  7. Ma, H.: Design and application of teaching resources sharing platform for physical education major based on internet. J. Phys. Conf. Ser. 19(2), 221–225 (2021)

    Google Scholar 

  8. Shi, Y., Zhang, J.S.: Design of information-based teaching resources sharing system based on multimedia technology. Mod. Electron. Tech. 44(20), 32–36 (2021)

    Google Scholar 

  9. Xiang, J., Deng, M.: Construction of teaching resource sharing platform of guangxi open university based on cloud service. J. Guangxi Open Univ. 32(03), 22–26 (2021)

    Google Scholar 

  10. Jiang, T.: Simulation of network dynamic resource flexible scheduling based on pattern fusion. Comput. Simul. 38(6), 59–62 (2021)

    Google Scholar 

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School level higher education teaching reform project (project number: 310210042201).

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Correspondence to Nannan Zhao .

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

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Zhao, N., Chen, J. (2024). Design of Online Teaching Resources Sharing System for Computer Specialty Based on Fuzzy Clustering Algorithm. 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 545. Springer, Cham. https://doi.org/10.1007/978-3-031-51471-5_15

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  • DOI: https://doi.org/10.1007/978-3-031-51471-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51470-8

  • Online ISBN: 978-3-031-51471-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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