AI赋能传统数值分析课程的翻转课堂教学改革探索

Exploration of Flipped Classroom Teaching Reform in Traditional Numerical Analysis Courses Empowered by AI

摘要: 数值分析是高校理工科专业中重要的基础课之一，然而随着人工智能(Artificial Intelligence, AI)算法和技术的发展，以理论推导为主的数值分析课程教学，在教学内容和方式上已经难以满足AI人才培养的需求。本文针对AI赋能传统数值分析课程的翻转课堂教学改革进行探索，重点针对课程内容陈旧、学用脱节以及实验环节薄弱等问题提出改革，改革策略包括教学内容重构、翻转课堂教学以及实践教学设计，使得在AI背景下学生能够提高学习效率，同时能将传统数值方法迁移至工程实践中。

Abstract: Numerical analysis is one of the important basic courses in science and engineering majors in colleges and universities. However, with the development of Artificial Intelligence (AI) algorithms and technologies, the teaching of numerical analysis courses mainly based on theoretical derivation has been difficult to meet the needs of AI talent cultivation in terms of teaching content and methods. This paper explores the flipped classroom teaching reform of traditional numerical analysis courses empowered by AI, focusing on proposing reforms to address issues such as outdated course content, disconnection between learning and application, and weak experimental links. The reform strategies include the reconstruction of teaching content, flipped classroom teaching, and practical teaching design, enabling students to enhance their learning efficiency in the context of AI. At the same time, it can transfer traditional numerical methods to engineering practice.