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Data Mining Based Method for Integrating Online English SPOC Curriculum Resources

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

Abstract

In order to improve the integration effect of English SPOC course resources and improve students’ English grades, this article proposes an online English SPOC course resource integration method based on data mining. Firstly, web log preprocessing is implemented through five steps: data cleaning, user authentication, session authentication, path integration, and sequence recognition. Then, use frequent pattern mining algorithms to implement online English SPOC course resource mining. Finally, design an online English SPOC course resource integration platform using a B/S structure to achieve the integration of course resources. The test results show that this method can slightly improve students’ English grades in the short term, and significantly improve students’ English grades in the long term.

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Correspondence to Zhou Tang .

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

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Tang, Z., Wang, N. (2024). Data Mining Based Method for Integrating Online English SPOC Curriculum Resources. 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_28

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  • DOI: https://doi.org/10.1007/978-3-031-51471-5_28

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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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