软件导刊2024，Vol.23Issue(8)：193-197,5.DOI:10.11907/rjdk.231729
机器学习课程思政探索
Exploration of Ideological and Political Integration in Machine Learning Courses
摘要
Abstract
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.关键词
机器学习/课程思政/教学模式Key words
machine learning/ideological and political theory in courses/teaching mode分类
社会科学引用本文复制引用
刘明剑,张思佳,孙华,胡泽元,李奇蔚..机器学习课程思政探索[J].软件导刊,2024,23(8):193-197,5.基金项目
辽宁省教育科学"十四五"规划2021年度立项一般课题(JG21DB076) （JG21DB076）
辽宁省教育科学"十四五"规划2022年度立项一般课题(JG22DB096) （JG22DB096）
大连海洋大学2023年度本科教育教学改革研究项目(39) （39）
