人工智能背景下的大气科学类专业教学改革路径及措施

Pathways and Measures for Teaching Reform in Atmospheric Science Programs under the Background of Artificial Intelligence

摘要: 随着人工智能技术的快速发展，它正在深刻改变各行各业的发展模式。大气科学类专业作为一门依赖于数据分析和预测的学科，如何在人工智能技术的支持下进行教学改革，提升教学质量和学生能力，是当前亟需解决的问题。本文从人工智能技术的特点出发，结合大气科学类专业的教学特点，探讨人工智能背景下的大气科学类专业教学改革的路径及其实施策略。

Abstract: The rapid development of artificial intelligence technology is profoundly changing development models across various industries. As a discipline that heavily relies on data analysis and forecasting, the challenge for atmospheric science programs lies in how to implement teaching reforms supported by artificial intelligence technology to enhance teaching quality and student capabilities. This article explores the pathways and implementation strategies for teaching reform in atmospheric science programs under the backdrop of artificial intelligence, starting from the characteristics of AI technology and integrating them with the teaching features of atmospheric science.