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A Resource Sharing Method of Higher Vocational Distance Online Education Based on Sparse Clustering Algorithm

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

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Abstract

There is a problem of resource redundancy in the conventional resource sharing methods of distance online education in higher vocational colleges, which affects the final quality of resource sharing. Therefore, a resource sharing method of distance online education in higher vocational education based on sparse clustering algorithm is designed. Construct the framework of online education resource sharing in higher vocational education, and analyze the demand for online education resource sharing. Based on the sparse clustering algorithm, the constraint factors of the shared space of educational resources are determined, and the optimal sharing code of remote online educational resources is obtained, thus eliminating the shared redundant resources. Establish a remote online education resource sharing mechanism to carry out remote management and coordination of online education resources, so as to achieve effective sharing of remote online education resources. The example analysis verifies that the method has better sharing performance and can be applied in real life.

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Author information

Authors and Affiliations

  1. Modern Service College, Harbin Vocational College of Science and Technology, Harbin, 150300, China

    Xianke Han

  2. Hankou University, Wuhan, 430000, China

    Xin Wang

Authors
  1. Xianke Han
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  2. Xin Wang
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Correspondence to Xianke Han .

Editor information

Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Guan Gui

  2. Yantai University, Yantai, China

    Ying Li

  3. Institute of High Performance Computing, Fusionopolis, Singapore

    Yun Lin

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

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Han, X., Wang, X. (2024). A Resource Sharing Method of Higher Vocational Distance Online Education Based on Sparse 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_6

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  • DOI: https://doi.org/10.1007/978-3-031-51471-5_6

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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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