AI虚实融合的工科力学课程教学创新

AI VIRTUAL-PHYSICAL INTEGRATION-BASED TEACHING INNOVATION OF ENGINEERING MECHANICS COURSES

  • 摘要: 针对能源类院校力学基础课程教学现状,结合智能采矿新工科建设对教学技术的发展需求,本文开展人工智能赋能下的力学课程教学技术创新研究。基于AI(Artificial Intelligence,人工智能)技术搭建力学模型虚实交互场景,构建“能源特色专业+力学基础课程+智能教学技术”一体化教学路径。该方案打破了传统工科专业与基础力学教学在AI融合应用层面的脱节困境,实现教学场景、教学技术升级,可为新工科背景下力学课程的智能化教学改革提供案例参考。

     

    Abstract: Given the current status of foundational mechanics instruction in energy-oriented universities, and in response to the pedagogical technology demands arising from the development of New Engineering Education in intelligent mining, this paper investigates the innovation of teaching technologies for mechanics courses through artificial intelligence (AI) empowerment. By employing AI to construct virtual-physical interactive scenarios for mechanical models, we propose an integrated teaching pathway that combines “energy-featured majors, foundational mechanics courses, and intelligent teaching technologies.” This approach effectively bridges the gap between traditional engineering disciplines and foundational mechanics teaching in AI-integrated applications, thereby upgrading both teaching scenarios and instructional technologies. The proposed scheme serves as a practical reference for the intelligent transformation of mechanics course teaching within the context of New Engineering Education.

     

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