文章从思政和数据驱动结合的视角来审视理论力学课程教学的智能化趋势,讨论了传统教学方法的现代化转型的必要性。从智能化教学平台、个性化学习路径规划、项目驱动等方面给出了理论力学教学智能化升级的优势。数据驱动与思政教育是未来基础教育的发展趋势,这种融合可以加快优质资源快速共享,同时提升理论力学教学的整体水平。探索力学学科的高等教育智能化升级模式,培养新工科背景下所需要的应用型人才,以适应时代发展的新需求。The article examines the intelligent trend in the teaching of theoretical mechanics from the perspective of integrating ideological and political education with data driven approaches, discussing the necessity of modernizing traditional teaching methods. The benefits of intelligent enhancement in the education of theoretical mechanics are discussed through various dimensions, including intelligent teaching platforms, tailored learning pathways, and project-based methodologies. Additionally, the integration of digital driven and ideological-political education represents a future development trend in basic education. This integration has the potential to facilitate the swift dissemination of high-quality educational resources, thereby improving the overall quality of instruction in theoretical mechanics. This study investigates the intelligent upgrading models of higher education within the field of mechanics, aimed at cultivating application-oriented professionals required in the context of emerging engineering disciplines, thereby addressing the evolving demands of contemporary society.
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