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Research on Online Mathematics Teaching Resource Integration Model Based on Deep Neural Network

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e-Learning, e-Education, and Online Training (eLEOT 2022)

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Abstract

Improving the quality of resource integration is one of the effective ways to improve the utilization of teaching resources. Therefore, aiming at the online mathematics course, this research uses the deep neural network as the basic means to carry out a new design of the teaching resource integration model. First, the overall design is carried out, including the model architecture, resource data transmission mode, data management mode, model function design and cloud platform configuration. Then, using the elastic computing technology in the field of deep neural network technology, based on the collection of relevant resources, the cloud storage and management of resources are implemented with the mathematics course courseware as the core and the extensible software as the support. Finally, in the deep neural network, the dynamically expandable and virtualized storage resources are used to provide the storage and access services of teaching resources, and the integration effect is improved by classifying the resource categories when uploading resources. Compared with the traditional model, the results show that the characteristics of this model are more prominent, and the application advantages in accuracy and resource reading speed are obvious.

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Author information

Authors and Affiliations

  1. Division of Public Teaching, Jinan Vocational College, Jinan, 250103, China

    Yue Wang

  2. Department of Computer Science, Jinan Vocational College, Jinan, 250103, China

    Yiqian Zhang

Authors
  1. Yue Wang
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  2. Yiqian Zhang
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Corresponding author

Correspondence to Yue Wang .

Editor information

Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Y., Zhang, Y. (2022). Research on Online Mathematics Teaching Resource Integration Model Based on Deep Neural Network. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_20

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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