AI赋能高等数学教学：痛点破解、路径创新与实践探索

AI Empowers Higher Mathematics Teaching: Pain Point Resolution, Path Innovation, and Practical Exploration

摘要: 随着人工智能技术与教育教学的深度融合，高等数学作为军校人才培养的基础核心课程，面临着实战化教学衔接不足、个性化培养精准度不够、教学评价体系单一等新问题。本文立足军校教学特色，结合多年教学实践，系统分析AI赋能高等数学教学的现实痛点，构建“场景化重构–个性化适配–实战化检验–智能化评价”的创新路径，通过具体教学案例总结实践经验，为军校高等数学教学模式创新提供参考，助力培养适应新时代的高素质军事人才。

Abstract: With the in-depth integration of artificial intelligence technology and education, higher mathematics, as a fundamental core course in military academy talent cultivation, is confronted with new challenges such as insufficient connection with combat-oriented teaching, inadequate precision in personalized training, and a simplistic teaching evaluation system. Based on the teaching characteristics of military academies and combined with years of teaching practice, this paper systematically analyzes the practical pain points in the integration of AI into higher mathematics teaching, and constructs an innovative path of “scenario-based reconstruction - personalized adaptation - combat-oriented verification - intelligent evaluation”. Through summarizing practical experience with specific teaching cases, this paper provides references for the innovation of higher mathematics teaching models in military academies, and contributes to cultivating high-quality military talents adaptable to the new era.