教育数字化转型背景下基于雨课堂AI平台的“环境生物化学”课程教学改革与实践

Teaching Reform and Practice of the “Environmental Biochemistry” Course Based on the Rain Classroom AI Platform in the Context of Educational Digital Transformation

摘要: 在教育数字化战略行动深入推进的背景下，针对传统“环境生物化学”课程存在的知识碎片化、实践脱节、个性化不足等痛点，本研究依托雨课堂AI平台构建“教学内容重构–虚实资源融合–智能诊断干预–教学共同体共构–多元化评价”的五维教学改革框架。通过课前AI学情诊断动态调整教学起点、课中多模态交互激活深度认知、课后智能推送实现个性化拓展的实践路径，形成了“数据驱动、人机协同、师生共构”的教学模式。实践表明，该模式有效改善了课堂参与度和教学效果，提升学生的学习主动性与知识应用能力。但也面临技术适配、师生适应等挑战。

Abstract: Against the backdrop of the deepening implementation of the digital education strategy, this study addresses the pain points of fragmented knowledge, disconnection from practice, and insufficient personalization in the traditional “Environmental Biochemistry” course. Leveraging the Rain Classroom AI platform, a five-dimensional teaching reform framework was constructed, encompassing “content restructuring, integration of virtual and physical resources, intelligent diagnostic intervention, teaching community collaboration, and diversified evaluation.” Through pre-class AI-based learning diagnostics to dynamically adjust teaching starting points, in-class multi-modal interactions to activate deep cognition, and post-class intelligent push notifications to achieve personalized expansion, a teaching model characterized by “data-driven, human-machine collaboration, and teacher-student co-creation” was established. Practice has shown that this model effectively enhances classroom engagement and teaching outcomes, improving students’ initiative in learning and knowledge application abilities. However, challenges such as technological adaptation and teacher-student adjustment remain.