Exploration of Ideological and Political Integration in Machine Learning Courses
This paper aims to explore the integration of ideological and political education into machine learning courses to enhance teaching effectiveness.Firstly,we analyze the opportunities for blending machine learning courses with ideological and political theories,emphasizing the significance of teachers' moral cultivation and students' interests and engagement.Secondly,we propose a teaching approach that incorpo-rates ideological and political theories into machine learning classes by presenting practical scenario-based cases.Through this method,stu-dents are encouraged to apply machine learning knowledge while reflecting on the ethical and social values involved,thus fostering their criti-cal thinking abilities and moral literacy.Lastly,the practical implementation of this teaching approach is evaluated,revealing that students gain a better comprehension and application of machine learning concepts within relevant contexts,along with a deeper understanding of ideo-logical and political theories.This novel approach provides fresh ideas and methods for combining ideological and political education with pro-fessional courses,significantly contributing to students' holistic development and their sense of social responsibility.
machine learningideological and political theory in coursesteaching mode
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