Exploration and Practice of Teaching Mode Empowered by Artificial Intelligence in Higher Mathematics Courses

研究旨在探索人工智能技术赋能高等数学教学模式的有效路径，针对个性化教学实施困难、抽象理论不易生动展现及教学效果评价反馈单一化等问题，提出AI人工智能系统通过三段式智慧教学模式，促进高等数学与专业融合、助力精准个性化教学、深化知识图谱逻辑。实践表明，AI驱动的精准教学与混合式学习可提升教学效果与学生主动性，助力教育现代化，但仍需突破技术资源与政策瓶颈以深化创新。The study aims to explore effective paths for artificial intelligence (AI) technology to empower the teaching model of higher mathematics. Aiming at problems such as the difficulty in implementing personalized teaching, the challenge of vividly presenting abstract theories, and the simplification of teaching effect evaluation feedback, this paper proposes that an AI system can promote the integration of higher mathematics with professional disciplines, assist in precise personalized teaching, and deepen the logic of knowledge graphs through a three-stage intelligent teaching model. Practices have shown that AI-driven precise teaching and blended learning can enhance teaching effectiveness and students’ initiative, contributing to educational modernization. However, it is still necessary to break through technical resource and policy bottlenecks to deepen innovation.