人工智能赋能离散元仿真教学模式

【作者】 杜连明； 曲一兵； 王蕾；

【机构】 济南大学机械工程学院；

【摘要】 随着计算机技术和人工智能(artificial intelligence, AI)的快速发展,离散元仿真(discrete element method, DEM)在工程与科学教育中的教学价值逐渐凸显。传统DEM教学模式存在学习曲线陡峭、实验效率低下以及学生难以直观理解复杂物理过程等问题。提出一种"AI赋能离散元仿真教学"的研究思路,通过引入大语言模型、智能建模、可视化生成与个性化学习推荐等人工智能技术,构建基于AI支撑的DEM教学模式。在总结国内外离散元仿真教学与AI教学应用的研究现状的基础上,设计AI赋能的教学模式,并在实际教学案例中进行应用与对比分析。研究结果表明,该模式能有效提升学生的实验效率和自主学习能力,促进其对抽象概念的理解。更多还原

【Abstract】 With the rapid development of computer technology and artificial intelligence(AI), the teaching value of discrete element simulation( Discrete Element Method, DEM) in engineering and scientific education has gradually become prominent.However, the traditional DEM teaching mode has problems such as a steep learning curve, low experimental efficiency, and difficulty for students to intuitively understand complex physical processes. This paper proposes a research idea of "AI-enabled discrete element simulation teaching", by introducing artificial intelligence technologies such as large language models, intelligent modeling, visualization generation, and personalized learning recommendations, to construct an AI-supported DEM teaching mode. Based on summarizing the research status of DEM teaching and AI teaching applications at home and abroad, a teaching mode enabled by AI is designed, and it is applied and compared in actual teaching cases. The research results show that this mode can effectively improve students’ experimental efficiency and autonomous learning ability, and promote their understanding of abstract concepts.更多还原