本文阐述了物理化学课程的特点及传统教学存在的问题，分析了AI与雨课堂结合的优势，介绍了利用AI赋能雨课堂开展物理化学混合式教学的具体实施过程，包括课前、课中、课后的教学环节设计。通过教学实践和学生反馈，探讨了混合式教学模式对学生学习效果、学习兴趣、自主学习能力和创新实践能力的影响，结果表明学生成绩提升明显且未有不及格学生，学习兴趣大幅提升且参与度提高约3倍，学习能力和实践能力也有所提升。本文旨在为物理化学教学改革提供新的思路和方法，推动教育技术与学科教学的深度融合。

Herein, a one-pot chemical reduction method was reported to prepare folic acid (FA)-stabilized silver nanoclusters (FA@Ag NCs), in which FA, hydrazine hydrate, and silver nitrate were used as capping agent, reducing agent, and precursor, respectively. Several technologies were employed to investigate the structures and optical properties of FA@Ag NCs, including transmission electron microscopy (TEM), X ray photoelectron spectrometer (XPS), Fourier transform infrared spectrometer (FTIR), X-ray diffractometer (XRD), fluorescence spectrometer, and ultraviolet visible absorption spectrometer. FA@Ag NCs were suggested to be highly dispersed and spherical with a size of around 2.8 nm. Moreover, the maximum excitation and emission wavelengths of FA@Ag NCs were 370 and 447 nm, respectively. Under the optimal detection conditions, FA@Ag NCs could be used to effectively detect malachite green with the linear detection range of 0.5-200 μmol·L^-1. The detection limit was 0.084 μmol·L^-1. The fluorescence-quenching mechanism was ascribed to the static quenching. The detection system based on FA@Ag NCs was successfully used for the detection of malachite green in actual samples with good accuracy and reproducibility.