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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

Research Article

Research on Computer Software Teaching Method of Digital Media Art Theory Under the Background of Big Data

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23950-2_67,
        author={Lujun Cao},
        title={Research on Computer Software Teaching Method of Digital Media Art Theory Under the Background of Big Data},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2023},
        month={1},
        keywords={Apriori algorithm Digital media Computer software},
        doi={10.1007/978-3-031-23950-2_67}
    }
    
  • Lujun Cao
    Year: 2023
    Research on Computer Software Teaching Method of Digital Media Art Theory Under the Background of Big Data
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-23950-2_67
Lujun Cao1,*
  • 1: Software Engineering Institute of Guangzhou, Guangzhou City
*Contact email: caolujun520@163.com

Abstract

With the advent of the Internet era, enterprises put forward higher requirements for the comprehensive quality of talents. However, in the traditional computer software teaching, teachers carry out relatively few software teaching contents, and most of them focus on the teaching of computer history evolution and other related contents, resulting in the lack of outstanding computer software application ability of most students, which seriously affects the teaching effect. Based on this, this paper analyzes the application of digital media art theory in computer software teaching based on Apriori algorithm, in order to further improve the quality of computer software teaching.

Keywords
Apriori algorithm Digital media Computer software
Published
2023-01-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23950-2_67
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