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Analysis and Research on the Teaching Methods of Vocational College Teachers under the Background of Big Data

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Published:24 March 2021Publication History

ABSTRACT

The teaching methods of vocational college teachers can not only reflect the comprehensive quality and professional level of teachers, but also highlight the innovative ability of teachers. Good teaching methods can not only help students learn professional knowledge, but also affect students' professional employment development. This article analyzes the teaching methods of vocational college teachers under the background of big data.

References

  1. Guo Xiaoguang. Discussion on the Construction of Smart Campus in Vocational Schools under the Background of Big Data [J]. Software, 2019, 40 (12): 226--228.Google ScholarGoogle Scholar
  2. Zhang Shushu, Guo Ling. Investigation and countermeasures of professional practice of professional teachers in vocational colleges [J]. Science and Technology Innovation and Productivity, 2019 (09): 53--56.Google ScholarGoogle Scholar
  3. Su Qian. Problems and countermeasures of school-enterprise cooperation in vocational education [J]. Journal of Qujing Teachers College, 2019, 38 (04): 81--84.Google ScholarGoogle Scholar
  4. Liu Aiwu. Investigation and analysis on the status quo of the application of professional curriculum teaching methods in vocational schools: A case study of Suqian Economic and Trade Vocational Technical College in Jiangsu Province [J]. Jiangsu Educational Research, 2014 (33): 27--29.Google ScholarGoogle Scholar
  5. He Wenming. Vocational Education Calls for Great Reform of Teaching Methods [J]. Education and Occupation, 2009 (35): 16--18.Google ScholarGoogle Scholar
  6. Bin wang. 2017. Employment in China (Shanghai) Pilot Free Trade Zone. Chinese Economy. 50, 4(Jul. 2017), 266--273. DOI=https://doi.org/10.1080/10971475.2017.1321892.Google ScholarGoogle Scholar
  7. Zhang hongxia, Yang wenge, Yun jingxuan.2015. Research on the influence of Shanghai Free Trade Zone on College Students. Commercial economy. 10, (Oct. 2015), 106--109.Google ScholarGoogle Scholar
  8. He yan, Huang qiaoru, Zhang congmin, Zhuang xiaohui, Tian fujun.2018. The willingness of college students to rely on the free trade zone for entrepreneurship and employment and the influence of the free trade zone. Higher agricultural education.Google ScholarGoogle Scholar
  9. Ye Baojuan, Lei Xi, Liu Cuicui, Fu Haohao, You Yayuan, Chen Jiawen. 2018. The influence mechanism of psychological capital on the work performance of rural primary school principals. Chinese Journal of Clinical Psychology, (03), 575-577+569.Google ScholarGoogle Scholar
  10. Ye Baojuan, Zhu Lijun, Fang Xiaoting. 2019. The influence of psychological capital on mainstream cultural adaptation of minority preparatory students: a moderated mediation model. Chinese Journal of Clinical Psychology, (03), 595--598.Google ScholarGoogle Scholar
  11. Zhang Hongru, Li Qun, Lu Rui. 2015. The impact of workplace exclusion on the turnover intention of the new generation of migrant workers: the moderating effect of psychological capital. East China Economic Management, (11), 152--158.Google ScholarGoogle Scholar

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  1. Analysis and Research on the Teaching Methods of Vocational College Teachers under the Background of Big Data

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    • Published in

      cover image ACM Other conferences
      EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
      December 2020
      718 pages
      ISBN:9781450389099
      DOI:10.1145/3453187

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 March 2021

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      EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%
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