针对机器学习课程教学中面临的学生课堂参与度低、课外学习时间不足及传统教学反馈滞后问题，提出基于雨课堂的“讲练对分”教学改革思路，探讨如何通过设计“精讲—练习—反馈—示范”的讲练教学范式，结合智能手机的功能化应用及数字化教学反馈，有效提升课堂教学效果与学生学习体验，最后说明教学改革效果。

This paper addresses the challenges faced in the teaching of the “machine learning” course, including low student participation in class, insufficient extracurricular learning time, and delayed feedback in traditional teaching methods. It proposes and implements a reform approach based on the “lecture-exercise pairing” teaching model using the Rain Classroom platform, which facilitates the collection and analysis of data throughout the teaching process. The study explores how to effectively enhance classroom teaching effectiveness and student learning experience by designing a teaching paradigm of “focused teaching-practice-feedback-demonstration”, integrating the functional application of smartphones and digital teaching feedback, thereby providing a referenceable implementation path for the reform of artificial intelligence professional courses. The paper concludes by indicating the effects of the teaching reform.