人工智能时代的机器学习课程跨学科教学创新

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中图分类号：G642.0;TP181-4 文献标志码：A 文章编码：1672-7274（2026）01-0169-03

Interdisciplinary TeachingInnovation in MachineLearning Courses intheEra ofArtificialIntelligence

ZHUQionggan （Taiyuan Institute of Technology，Taiyuan O3ooo8，China）

Abstract： Inthecontextof thenew era，machine learning technologyhas been widelyappliedinvarious fields，and the demandforinterdisciplinary teaching has also increased.The promotionand applicationofartificial intelligence technologyinthefieldofeducationhas injectednewvitalityintotheinterdisciplinaryteaching innovationof machine learning courses.In response to the current situation of interdisciplinary teaching in machine learning courses， theadvantages of artificial intelligence technologycan be leveraged to promote innovation in the interdisciplinary teaching of machine learning courses through the systematic constructionof interdisciplinary knowledge graphs，the establishment of interdisciplinary teacher cooperation mechanisms，the design of diverse background fusion courses， the development of shared interdisciplinary resource libraries，and the adoption of practice oriented teaching models.

Keywords： era ofartificial intelligence; machine learning courses; interdisciplinary teaching; innovation strategy

在人工智能飞速发展的今天，教育领域正在发生深刻的变化，跨学科教学已是大势所趋。（剩余4450字）