Utilizing AI and Big Data to Enhance Skill Development in Biotechnology Education

Authors

  • Chunlei Lin Department of Education and Engineering, Zhejiang Guangsha Vocational and Technical University of Construction,dongyang,China,322100
  • Junhui Zhou Department of Public Physical Education, Zhejiang Guangsha Vocational and Technical University of Construction,dongyang,China,322100
  • Guangyong Pang School of Intelligent Manufacturing,Zhejiang Guangsha Vocational and Technical University of Construction,dongyang,China,322100
  • Xinping Yu School of Intelligent Manufacturing,Zhejiang Guangsha Vocational and Technical University of Construction,dongyang,China,322100

DOI:

https://doi.org/10.5912/jcb1172

Abstract

This study evaluates the effectiveness of Big Data Mining Algorithms in enhancing professional literacy through Civic Education course resources. With a focus now shifted towards biotechnology education, the research highlights how these advanced data-driven methods can transform and improve biotechnological training. By comparing traditional educational methods with those based on Big Data Analytics (BDA), the study found that the BDA approach improves the efficiency of civic education courses by over 20%, underscoring the potential of integrating these technologies to foster a deeper understanding and application of biotechnology principles in educational settings.

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Published

2022-03-03

Issue

Vol. 27 No. 3 (2022): Volume 27, Issue 3 2022

Section

Manuscript