Research on teaching resource reform of innovation and entrepreneurship education for Business Administration Specialty

Abstract

Current Chinese higher education studies and performance have focused on entrepreneurship and innovation. Innovation and entrepreneurship curricula 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 are 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 education using an 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 the Delphi technique. The statistical results indicate that the proposed method has greater efficiency in innovation and entrepreneurship education at colleges and universities.