Application of Artificial Intelligence Technology in Teaching Supervision for Vocational Education

Zhengquan Liu; Cong Peng; Yirong Liu

doi:10.26689/jcer.v9i1.9525

Zhengquan Liu School of Civil and Agriculture Engineering, Guangxi Vocational College of Water Resources and Electric Power, Nanning 530023, Guangxi Zhuang Autonomous Region, China
Cong Peng School of Civil and Agriculture Engineering, Guangxi Vocational College of Water Resources and Electric Power, Nanning 530023, Guangxi Zhuang Autonomous Region, China
Yirong Liu School of Civil and Agriculture Engineering, Guangxi Vocational College of Water Resources and Electric Power, Nanning 530023, Guangxi Zhuang Autonomous Region, China

DOI: https://doi.org/10.26689/jcer.v9i1.9525

Keywords: AI-based teaching supervision, Vocational education, Real-time monitoring, Behavior recognition, Data-driven education

Abstract

This 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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