Evaluation and Feedback Mechanism System for Artificial Intelligence Professional Experimental Courses Based on “Professionalism + Innovation, Demand + Entrepreneurship”

Abstract

Abstract: Artificial intelligence (AI) is becoming the primary driving force behind China’s new wave of technological and industrial transformation. Currently, the evaluation system for AI professional experimental courses faces issues such as fragmented assessments and a lack of closed-loop feedback mechanisms. Therefore, we propose an evaluation and feedback mechanism system for AI professional experimental courses based on the principles of“professionalism + innovation, demand + entrepreneurship”.The aim is to enhance course satisfaction, improve students’s professional skills, and foster an entrepreneurial spirit, ultimately cultivating high-quality AI professionals who meet the demands of the times.

Key words: Professionalism + innovation, Demand + entrepreneurship, Artificial intelligence professional, Course evaluation, Feedback mechanism, Professional skills, High-quality talent

CLC Number:

G642

LIAO Wenzhe, LI Shijie, ZHANG Xueping. Evaluation and Feedback Mechanism System for Artificial Intelligence Professional Experimental Courses Based on “Professionalism + Innovation, Demand + Entrepreneurship”[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2025, 8(8): 8-12.

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