Exploration of AI Driven Reform in Vocational Training Teaching—Taking Virtual Interaction Design Course as an Example

Abstract

Abstract: The rapid development of artificial intelligence (AI) is driving the education system from experiential to intelligent, data-driven, and precise. As a key driving force for the digital transformation of education, AI has not only changed the form of teaching tools and resources, but also profoundly influenced the reconstruction of learning mechanisms and teaching models. Research suggests that AI driven reform of vocational training teaching should achieve a systematic transformation from knowledge transmission to cognitive construction, from teaching control to learning regulation, and from experience judgment to data decision-making, providing theoretical support and path inspiration for the intelligent development of vocational education and the practical transformation of learning science.

Key words: Artificial intelligence, Vocational education, Studying science, Educational technology, Innovation in teaching mode, Adaptive learning, Learning analysis

CLC Number:

G712

ZHENG Bingqian, WU Jingao. Exploration of AI Driven Reform in Vocational Training Teaching—Taking Virtual Interaction Design Course as an Example[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(5): 112-114.

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