Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

Research on the Strategy of Ideological and Political Education in Transportation Major with Data Technology Under the Background of Comprehensive Education

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347657,
        author={Pengfei  Feng and Jingxian  Mei and Yanmei  Wang and Jinyu  Li},
        title={Research on the Strategy of Ideological and Political Education in Transportation Major with Data Technology Under the Background of Comprehensive Education},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={big data; comprehensive education; course ideological and political education; transportation},
        doi={10.4108/eai.29-3-2024.2347657}
    }
    
  • Pengfei Feng
    Jingxian Mei
    Yanmei Wang
    Jinyu Li
    Year: 2024
    Research on the Strategy of Ideological and Political Education in Transportation Major with Data Technology Under the Background of Comprehensive Education
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347657
Pengfei Feng1, Jingxian Mei1,*, Yanmei Wang1, Jinyu Li2
  • 1: Smart Transportation Modern Industry College Anhui Sanlian University
  • 2: Electrical Engineering College Anhui Technical College of Industry and Economy
*Contact email: mjx1214@126.com

Abstract

With the development and popularization of big data technology, big data technology has also been applied to enhance the quantity and quality of ideological and political education in university various professional courses research. This article is based on the theory of "three comprehensive education" and, in the context of its comprehensive education, explores the integration strategy of ideological and political education in transportation professional courses from the perspectives of resource library, classroom, multi-dimensional time data push, evaluation, and other aspects. It aims to achieve seamless integration of big data and ideological education in transportation professional courses, and promote the healthy development of new model curriculum education.