CRITICAL FACTORS AFFECTING THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO ACADEMIC MANAGEMENT FOR VOCATIONAL EDUCATION IN HENAN PROVINCE

Abstract

The rapid evolution of artificial intelligence (AI) technologies has significantly reshaped governance structures across educational systems. In vocational education, AI-driven academic management systems provide new opportunities for data-informed decision-making, intelligent scheduling, student performance prediction, and institutional resource optimization. This paper employs a systematic literature review to screen and evaluate research findings on digital transformation and AI governance from 2021 to 2024. The study specifically focuses on the unique context of vocational education in Henan Province, revealing deep-seated structural contradictions affecting AI integration through comparative analysis of policy responses and practices in the region under the background of industrial upgrading.The study contributes to theoretical discussions on intelligent educational governance and offers strategic recommendations for vocational institutions seeking to modernize academic management in alignment with China’s digital economy development strategy.