机器学习课程思政探索
Exploration of Ideological and Political Integration in Machine Learning Courses
刘明剑 1张思佳 1孙华 1胡泽元 1李奇蔚1
作者信息
- 1. 大连海洋大学 信息工程学院,辽宁 大连 116023
- 折叠
摘要
为了将思政知识融入机器学习专业课程以提高教学效果,首先分析机器学习课程与思想政治理论融合的契机,强调教师自身道德修养、学生兴趣和参与度的重要性;其次提出机器学习课程中融入思想政治理论的教学方法,通过实际情境案例让学生运用机器学习知识,并思考其中的伦理和社会价值,以提高学生的思辨能力和道德素养;最后通过实践验证该教学方法的有效性.学生在情境中能够更好地理解和应用机器学习知识,也对思想政治理论有了深入理解,这为将思政知识与专业课程融合的教学提供了新的思路和方法,对学生综合素质和社会责任感的培养具有重要意义.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据