Reform exploration for teaching mode of Engineering Computation course in the AI era
AI时代《工程计算》课程教学模式改革探索

摘要

《工程计算》是系统工程相关专业的核心基础课程，重点培养学生对工程数学问题的理论分析与编程求解能力。生成式人工智能的飞速发展为此课程的教学创新带来了机遇与挑战。本文通过一年的教学实践摸索，测试了ChatGPT、Claude和DeepSeek三款主流生成式人工智能模型对不同类型工程计算问题的求解能力，并探讨了其在辅助课程教学中的三种模式，提出了针对性的教学改革思路。

Abstract

Engineering Computation is a core basic course for majors related to systems engineering, which cultivates students' abilities in solving engineering mathematical problems from aspects of theoretical analysis and programming implementation. The rapid development of generative artificial intelligence (GenAI) has brought opportunities and challenges for teaching innovation in this course. Through a year of teaching practice, we test the solving abilities of three leading GenAI models—ChatGPT, Claude, and DeepSeek—on different varieties of engineering computation problems. Furthermore, we explore three GAI-assistant teaching modes and draw several targeted teaching insights.