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AI赋能与课程思政融合的创新实践——以“固体物理导论”为例
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Abstract:
《固体物理导论》作为物理学及相关专业的核心基础课程,具有理论性强、抽象度高、应用广泛的特点。传统教学模式常因内容晦涩难懂、缺乏互动性而难以激发学生的学习兴趣。文章聚焦于如何通过AI技术和课程思政的深度融合,优化教学方法、丰富教学内容,并实现知识传授与价值引领的有机统一。通过虚拟实验、智能辅导、案例教学等创新实践,提升学生的学习兴趣和科学素养,同时培养学生的家国情怀、社会责任感和科学精神,为固体物理课程教学改革提供实践参考。
“Introduction to Solid State Physics”, as a core foundational course for physics and related majors, is characterized by strong theoretical foundation, high degree of abstraction, and wide applications. Traditional teaching modes often struggle to stimulate students’ interest in learning due to the abstruse content and lack of interactivity. This article focuses on how to optimize teaching methods, enrich teaching content through the deep integration of AI technology and ideological and political education in curriculum, and achieve the organic unity of knowledge imparting and value guidance. Through innovative practices such as virtual experiments, intelligent tutoring, and case teaching, it aims to enhance students’ interest in learning and scientific literacy, while also cultivating students’ patriotism, social responsibility, and scientific spirit, providing a practical reference for the teaching reform of solid state physics courses.
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