基于人工智能的高校数学专业课程混合式教学模式研究

Research on the Blended Teaching Model of Mathematics Major Courses in Colleges and Universities Based on Artificial Intelligence

摘要: 当前高校数学专业课程的教学面临着传统教学模式的诸多挑战，尤其是在学生个性化学习需求和信息技术快速发展的背景下，亟需探索新的教学模式以提升教学效果。本文研究基于人工智能的高校数学专业课程混合式教学模式，旨在通过整合人工智能技术与传统教学方法，解决现有教学模式中的不足，提升学生的学习体验和效果。研究采用了人工智能驱动的教学工具和在线教学平台，结合混合式教学的理论基础，设计并实施了适用于高校数学课程的教学改革方案。通过对微积分和线性代数课程的实践案例分析，结果表明该混合式教学模式显著提高了学生的学习积极性和成绩。研究的实际贡献在于为高校数学教育提供了一种可行的教学改革路径，具有广泛的应用潜力和推广价值，同时也为未来的教学模式创新提供了参考。尽管研究在特定情境下表现出良好的效果，但在更广泛的应用中仍需进一步验证和优化。

Abstract: The current teaching of mathematics courses in higher education faces numerous challenges from traditional teaching models, especially against the backdrop of students’ personalized learning needs and the rapid development of information technology. There is an urgent need to explore new teaching models to enhance teaching effectiveness. This paper investigates an AI-based blended teaching model for mathematics courses in higher education, aiming to integrate artificial intelligence technology with traditional teaching methods to address the shortcomings of existing teaching models and improve students’ learning experience and outcomes. The study employs AI-driven teaching tools and online teaching platforms, combined with the theoretical foundation of blended learning, to design and implement a teaching reform plan suitable for university mathematics courses. Through practical case studies of calculus and linear algebra courses, the results indicate that this blended teaching model significantly enhances students’ learning motivation and performance. The practical contribution of the study lies in providing a feasible path for teaching reform in higher mathematics education, with broad application potential and value for promotion, while also offering a reference for future innovations in teaching models. Although the study shows good results in specific contexts, further validation and optimization are needed for broader application.