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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II

Research Article

Vulnerability Evaluation Method of Big Data Storage in Mobile Education Based on Bootstrap Framework

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  • @INPROCEEDINGS{10.1007/978-3-030-94554-1_15,
        author={Xi-liu Zhou and Yang-bo Wu},
        title={Vulnerability Evaluation Method of Big Data Storage in Mobile Education Based on Bootstrap Framework},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2022},
        month={1},
        keywords={Bootstrap framework Mobile education Big data},
        doi={10.1007/978-3-030-94554-1_15}
    }
    
  • Xi-liu Zhou
    Yang-bo Wu
    Year: 2022
    Vulnerability Evaluation Method of Big Data Storage in Mobile Education Based on Bootstrap Framework
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-94554-1_15
Xi-liu Zhou1, Yang-bo Wu1
  • 1: College of Mathematics and Computer, Xinyu University

Abstract

In order to better improve the effect of mobile education and ensure the quality of teaching, a vulnerability evaluation method of big data storage in mobile education based on bootstrap framework is proposed. By mining the characteristics of mobile education big data, this paper constructs the vulnerability evaluation model of mobile learning, and constructs the quality evaluation index of education big data storage vulnerability, so as to judge whether the learners’ learning effect reaches the expected level. Finally, experiments show that the method based on bootstrap framework has high effectiveness in the practical application process, and fully meets the research requirements.

Keywords
Bootstrap framework Mobile education Big data
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94554-1_15
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