AI-Enhanced Teaching Model Reconstruction: A Case Study of Data Collection and Cleaning Course

This paper discusses how to improve the traditional teaching status of data collection and cleaning courses through the "AI+ Data Collection and Cleaning" teaching model in the context of artificial intelligence technology. The paper proposes a studentcentered teaching model divided into four stages: exploration, practice, application, and innovation, utilizing AI technology to enhance students' initiative, practical ability, and innovation capability in learning data collection and cleaning. Through AIassisted data processing teaching examples, the learning experience has been significantly improved, enhancing students' senseof achievement, reducing the burden of technical learning, and effectively improving students' expression and communicationskills