新工科背景下“机器学习 + 课程思政”协同教学实践探索
Exploration of Collaborative Teaching Practice in “Machine Learning + Curriculum Ideology and Politics” in the Context of New Engineering

在新工科背景下，以“为国育才，为党育人”的教育理念为核心，着眼于人工智能领域的“机器学习”课程需求，深入研究相关思想政治教育，旨在推动高层次复合型人才培养模式的创新与实践。本文通过对“机器学习”课程思政建设现状的分析，探索课程思政教学新模式，构建了“专业知识 + 课程思政”课程体系，强调理论与实践的相互协同，以促进综合型、创新型理工科人才的全面培养。这不仅为学科专业提供了坚实的基础，同时对新时期高校课程思政的教学实践具有重要的指导意义。
In the context of the new engineering, guided by the core educational philosophy of “cultivating talent for the Party and the State”, our focus centers on the curriculum demands of “Machine Learning” within the field of artificial intelligence. We delve into the study of relevant ideological and political education, aiming to promote innovation and practice in the cultivation model of high-level compound talents. Based on an analysis of the current status of ideological and political construction in “Machine Learning” course, this article explores a new model of curriculum ideology and political teaching, constructing a curriculum system of “professional knowledge + curriculum ideology and politics”. It emphasizes the mutual promotion of theory and practice to comprehensively cultivate versatile and innovative talents in science and engineering. This not only provides a solid foundation for disciplinary majors, but also holds significant guiding significance for the teaching practices of ideological and political education in universities in the new era.