JCERJournal of Contemporary Educational Research2208-84662208-8474Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jcer.v9i1.9525ArticleApplication of Artificial Intelligence Technology in Teaching Supervision for Vocational Educationhttps://artdesignp.com/journal/JCER/9/1/10.26689/jcer.v9i1.9525LiuZhengquan,PengCong,LiuYirong2025912025-02-10This study explores the application of artificial intelligence-based teaching supervision systems in vocational education, addressing challenges in traditional teaching and supervision. The system leverages real-time monitoring, behavior recognition, and data analysis to enhance teaching quality and management efficiency. A case study demonstrates significant improvements in student engagement, discipline, and personalized learning outcomes, with classroom interaction rates increasing by 25% and discipline issues decreasing by 40%. Despite challenges in accuracy, data storage, and ethical concerns, the integration of advanced technologies like virtual reality and blockchain offers promising potential for intelligent, data-driven educational models and quality improvement.

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