Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on Building Vocational Education Teaching Quality Evaluation System Based on Big Data Technology

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327919,
        author={Kuang-wei  Zhang and Jie  Zhou and Shao-jie  Zhang},
        title={Research on Building Vocational Education Teaching Quality Evaluation System Based on Big Data Technology},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={big data; vocational education; teaching quality; evaluation system},
        doi={10.4108/eai.2-12-2022.2327919}
    }
    
  • Kuang-wei Zhang
    Jie Zhou
    Shao-jie Zhang
    Year: 2023
    Research on Building Vocational Education Teaching Quality Evaluation System Based on Big Data Technology
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327919
Kuang-wei Zhang1,*, Jie Zhou2, Shao-jie Zhang1
  • 1: Zhoukou Vocational and Technical College
  • 2: Zhoukou Technician College
*Contact email: 120143367@qq.com

Abstract

The evaluation of teaching quality is indispensable in the system of higher vocational education. It not only involves the macro-control of teaching activities and the scientific management of education, but also is an important means to ensure and improve teaching quality and cultivate more high-quality application-oriented talents. Therefore, this paper, based on the characteristics of vocational education, starts from the micro perspective and combines empirical research methods to analyze the evaluation system of teachers' teaching quality. It is helpful to enrich the relevant research on the evaluation system of teachers' teaching quality by deeply thinking about the weight of each subject in the evaluation system, the rationality of evaluation criteria, the contradiction between evaluation procedures and teachers' needs, and other issues. The research shows that the application of big data technology in the teaching quality evaluation system can effectively improve the quality of vocational education and teaching, laying a solid foundation for the cultivation of applied talents.