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The Application of Hierarchical Teaching Mode Based on Hybrid Criterion Fuzzy Algorithm in Higher Vocational English Education

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

This paper studies the English Teaching in Higher Vocational Colleges Based on the hybrid criterion fuzzy algorithm, which must adapt to the current new situation and actively carry out the teaching reform. In English teaching, the hierarchical teaching strategy is adopted, that is, teachers teach students according to their aptitude, teaching should be targeted, different teaching objectives should be formulated according to the individual differences of students, and different teaching requirements should be put forward, It can make students have a strong interest in learning, enhance their learning confidence and sense of achievement, and promote their healthy development.

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References

  1. Xing, Y.: Research on the application of hierarchical teaching mode in Higher Vocational English education. Educ. Occup. (24) (2012)

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Author information

Authors and Affiliations

  1. Ganzhou Teachers College, Ganzhou, 341000, Jiangxi, China

    Chuanwei Zhang

Authors
  1. Chuanwei Zhang
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Correspondence to Chuanwei Zhang .

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Editors and Affiliations

  1. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Mian Ahmad Jan

  2. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Fazlullah Khan

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, C. (2023). The Application of Hierarchical Teaching Mode Based on Hybrid Criterion Fuzzy Algorithm in Higher Vocational English Education. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_45

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  • DOI: https://doi.org/10.1007/978-3-031-23947-2_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23946-5

  • Online ISBN: 978-3-031-23947-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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