人工智能驱动的大学数学“师、生、机”三元教学模式探索

Exploration of the “Teacher-Student-Machine” Ternary Teaching Model for University Mathematics Driven by Artificial Intelligence

摘要: 大学数学是人工智能、数据科学、计算机等领域的理论基石，在人工智能技术深度赋能高等教育的时代背景下，其教学改革与智能技术融合具有重要意义。传统大学数学教学面临内容更新滞后、教学效率偏低、个性化指导不足等现实挑战。本文以大学数学专业课程为改革载体，系统构建“教师–学生–人工智能”三元协同教学模式，从教学理念、课程内容、教学模式和创新实践能力培养等方面展开探索。教学实践结果显示，此项改革方案能够显著提高学生的课堂参与积极性与数学实践应用水平，强化了课程内容与现实场景的衔接程度，提升了整体教学质量与教学效果。

Abstract: College mathematics serves as the theoretical cornerstone of artificial intelligence, data science, computer technology, and other related fields. Against the backdrop of the deep integration of artificial intelligence technologies into higher education, the reform of college mathematics teaching and its integration with intelligent technologies hold important significance. Traditional college mathematics teaching is confronted with practical challenges such as outdated content, low teaching efficiency, and insufficient personalized tutoring. Taking university mathematics courses as the reform carrier, this paper systematically constructs a ternary collaborative teaching model of “teacher-student-artificial intelligence”. Explorations are carried out in terms of teaching philosophy, curriculum content, teaching mode, and the cultivation of innovative practical abilities. Teaching practice results show that the reform scheme can significantly improve students’ classroom participation enthusiasm and mathematics practical application level, strengthen the connection between curriculum content and real scenarios, and enhance the overall teaching quality and effectiveness.