融入课程思政的“自主存取控制”教学设计与实践  

Design and Practice of Discretionary Access Control Teaching Integrating Ideological and Political Education

在线阅读下载全文

作  者:王松[1] 

机构地区:[1]楚雄师范学院管理与经济学院,云南 楚雄

出  处:《教育进展》2024年第3期179-186,共8页Advances in Education

摘  要:专业课程融入课程思政是高校落实立德树人根本任务的重要举措,本文以市场营销专业数据科学课程体系方法和工具层次中“数据库原理及应用”课程的“自主存取控制”为例,探索融入课程思政的数据科学课程教学设计与实践。根据学情和教学目标,总结出改革创新要解决的重点问题,在痛点问题的驱动下,基于课程思政设计理念,重塑课程教学内容,利用体现学生中心的教学方法,以线上线下教学资源建设为载体,设计思政教育融入教学的全过程,绘就数据科学课程的铸魂育人图谱。融入课程思政的数据科学课程教学设计与实践探索,将对促进财经类专业学生数据素养为导向的数据科学课程的教学改革提供参考。The integration of ideological and political education into professional courses is an important measure for universities to implement the fundamental task of cultivating morality and talents. This article takes the “Autonomous Access Control” course in the “Database Principles and Applica-tions” course of the Marketing Professional Data Science course system as an example to explore the teaching design and practice of integrating ideological and political education into courses. This article is based on the learning situation and teaching objectives, and summarizes the key issues that need to be addressed in reform and innovation. Driven by pain points, based on the concept of curriculum ideological and political design, it reshapes the curriculum teaching content, uses student-centered teaching methods, and uses the construction of online and offline teaching resources as a carrier to design the entire process of integrating ideological and political education into teaching, and draws a soulful education map for data science courses. The teaching design and practical exploration of integrating ideological and political education into data science courses will provide reference for promoting the teaching reform of data science courses guided by data literacy for students majoring in finance and economics.

关 键 词:课程思政 自主存取控制 教学设计 数据科学 

分 类 号:G63[文化科学—教育学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象