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Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 2023, Wuhan, China

Research Article

Goal-oriented Teaching Mode for Big Data Technology Based on New Engineering Background

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  • @INPROCEEDINGS{10.4108/eai.8-9-2023.2340003,
        author={Lin Zeng and Biwan Yang and GuangZhi Chen},
        title={Goal-oriented Teaching Mode for Big Data Technology Based on New Engineering Background},
        proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICMEIM},
        year={2023},
        month={11},
        keywords={new engineering data science big data innovative education engineering certification},
        doi={10.4108/eai.8-9-2023.2340003}
    }
    
  • Lin Zeng
    Biwan Yang
    GuangZhi Chen
    Year: 2023
    Goal-oriented Teaching Mode for Big Data Technology Based on New Engineering Background
    ICMEIM
    EAI
    DOI: 10.4108/eai.8-9-2023.2340003
Lin Zeng1, Biwan Yang1,*, GuangZhi Chen2
  • 1: HeZhou University
  • 2: Zhengzhou University of Aeronautics
*Contact email: yangbw80@163.com

Abstract

Given the teaching status quo that traditional teaching concepts and models cannot meet the training goals of emerging majors, we analyze the internal factors and historical background of its emergence, and deeply discuss the importance and application of the "new engineering" concept in the big data technology education, and propose specific measures and countermeasures in four steps: implementation and evaluation, analysis of research results, identification of problems and challenges, improvement strategies and optimization measures, to cultivate outstanding data engineers and improve students' professional application and innovation abilities.

Keywords
new engineering data science big data innovative education engineering certification
Published
2023-11-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.8-9-2023.2340003
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