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Application of Task-driven Flipped Classroom in NCO's Vocational and Technical Education

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Published:21 September 2020Publication History

ABSTRACT

There are some common problems in vocational and technical education for NCO (Non-Commissioned of Officers), such as the low learning enthusiasm of students, weak integration of teaching contents and position requirements, and the simple teaching method, etc. In order to solve these problems, task-driven flipped classroom is attempted to be applied in air conditioning technology and application course, based on in-depth study of course contents, CO students' characteristics and actual job demands. In this method, task is the main line, flipped classroom is used to organize the teaching, the subject status of students is fully reflected, and the learning is improved significantly.

References

  1. Zhao Jiyong, Guo Jibin, Xiang Peng. 2017.The application of the" three main lines "teaching method in the teaching of sergeants under the" 1 + 1 "teaching mode. Journal of Higher Education Research 4(Oct.2017), 108--112.Google ScholarGoogle Scholar
  2. Luo Lijun. 2015. Application of micro video in task-driven Teaching. Doctoral Thesis. Central China Normal University at Wuhan.Google ScholarGoogle Scholar
  3. Li Yang. 2014. Design and implementation of learning guidance plan based on task-driven approach. Doctoral Thesis. Capital Normal University in Beijing.Google ScholarGoogle Scholar
  4. Ma Xiulin, Zhao Guoqing, Wu Tong. 2013. An empirical study on flipped classroom teaching of information technology in University. Journal of Distance Education 1(Jan.2013), 79--85.Google ScholarGoogle Scholar
  5. J. Bergmann & Sams. How the Flipped Class Is Radically Transforming Learning [EB/OL]. http://www.thedailyriff.com/articles/how-the-flipped-classroom-is-radically-transforming-learning-536.php, 2014-12-12.Google ScholarGoogle Scholar

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  1. Application of Task-driven Flipped Classroom in NCO's Vocational and Technical Education

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      cover image ACM Other conferences
      ICDLT '20: Proceedings of the 2020 4th International Conference on Deep Learning Technologies
      July 2020
      147 pages
      ISBN:9781450375481
      DOI:10.1145/3417188

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 September 2020

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