RESEARCH ON THE TEACHING RESOURCE REFORM OF INNOVATION MANAGEMENT AND ENTREPRENEURSHIP EDUCATION FOR BUSINESS ADMINISTRATION MAJOR

Authors

  • Yuming Xu, Jianhua Sun

Keywords:

Innovation and entrepreneurship education, artificial intelligence (AI), Improved Genetic Algorithm (IGA), Dynamic Fuzzy Colony Optimization (DFCO), Delphi technique

Abstract

Current Chinese higher education study and performance has focused on entrepreneurship
and innovation. Innovation and entrepreneurship curriculum today can benefit from a shift in focus
toward Internet-based approaches that can open up new vistas for both academic inquiry and
hands-on experience. Internet innovation and entrepreneurship education in China is examined in
this paper, which concentrates on the effective interventions of this curriculum, as well as the basic
content of syllabus configuration, instructing strategy revision, teacher team-working, and Internet
innovation and entrepreneurship performance. We implement artificial intelligence (AI) based
learning platform in this study. Initially, the student data is collected and they are provided with
the education using Improved Genetic Algorithm (IGA) based educational platform. The model is
optimized using Dynamic Fuzzy Colony Optimization (DFCO) algorithm. The proposed system
quality is assessed using Delphi technique. The statistical results indicate that the proposed method
has greater efficiency of innovation and entrepreneurship education at colleges and universities.

Downloads

Published

2022-03-16

How to Cite

Yuming Xu, Jianhua Sun. (2022). RESEARCH ON THE TEACHING RESOURCE REFORM OF INNOVATION MANAGEMENT AND ENTREPRENEURSHIP EDUCATION FOR BUSINESS ADMINISTRATION MAJOR. RES MILITARIS, 12(1). Retrieved from https://resmilitaris.net/index.php/resmilitaris/article/view/67