机器学习基础课程思政教学改革与实践  

作　　者：岳仁田[1] 王红勇[1] 李善梅[1] 

机构地区：[1]中国民航大学,天津300300

出　　处：《高教学刊》2023年第23期193-196,共4页Journal of Higher Education

基　　金：天津市应用基础多元投入基金重点项目“基于四维航迹运行的空中交通复杂性精细化管理研究”(21JCZDJC00840);中央高校基本科研业务费资助项目“基于耦合-脆弱性的空域运行亚安全分析识别与调控”(3122022103)。

摘　　要：机器学习基础是交通运输专业的核心基础课程,结合课程知识要点,深入挖掘机器学习内含的思政要素,并通过多种教学手段融入到课内外一体化教学中。探究神经网络发展史的重要启示,教学过程中渗透机器学习蕴含的实事求是、化繁就简、抓主要矛盾和权衡折衷等重要哲理思维,不仅可以使单调的专业课教学变得更加生动,加深学生对专业课程的理解,同时还可形成专业课程的协同育人机制,实现专业知识教授、能力培养与思想政治引领的有机统一。Fundamentals of Machine Learning is the core basic course of transportation major.Combined with the key points of course knowledge,the ideological and political elements contained in machine learning are deeply excavated,and are integrated teaching inside and outside the course through a variety of teaching methods.We explore the important enlightenment of the history of neural network development,and infiltrate the important philosophical thinking contained in machine learning in the teaching process,such as seeking truth from facts,simplify complexity,grasp the main contradictions and balancing trade-offs.So we can not only make the monotonous professional course teaching more vivid and deepen students'understanding of the professional course,but also form a collaborative education mechanism of professional courses to realize the organic unity of professional knowledge teaching,ability training and ideological and political guidance.

关 键 词：机器学习 课程思政 教学改革 哲理思维 课内外一体化教学 

分 类 号：G642[文化科学—高等教育学]