摘要
Abstract
The traditional mode of undergraduate teaching supervision urgently needs paradigm transformation and mechanism innovation under the background of technological empowerment.From the perspective of artificial intelligence and educational governance,this paper systematically deconstructs the logic of undergraduate teaching supervision and core advantages such as improving supervision efficiency,enhancing the scientificity of evaluation,and improving the quality governance system.It explains the innovative application forms of artificial intelligence in supervision scenarios from the practical level,specifically covering intelligent classroom behavior monitoring,multi-dimensional teaching quality evaluation,and personalized supervision improvement plans.Furthermore,it deeply analyzes the practical challenges faced in the process of technology application,such as human-machine collaboration adaptation,algorithm limitations,and data privacy protection.It proposes development paths from three dimensions,i.e.,management optimization,technology iteration,and data security.关键词
人工智能/本科教学/教学督导/创新发展路径Key words
Artificial intelligence/Undergraduate teaching/Teaching supervision/Innovation and development path分类
教育学
