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昆明冶金高等专科学校学报 ›› 2024, Vol. 40 ›› Issue (1): 49-.DOI: doi:10.3969/j.issn.1009-0479.2024.01.009

• 教学改革与实践 • 上一篇    下一篇

数据可视化课程思政教学探索与实践

  

  1. (昆明冶金高等专科学校计算机信息学院,云南昆明650033)
  • 收稿日期:2023-08-31 出版日期:2024-02-20 发布日期:2024-09-30
  • 作者简介:方 芳 (1994-),女,云南曲靖人,助教,理学硕士,主要从事教育数据挖掘研究。
  • 基金资助:
    昆明冶金高等专科学校科研基金项目 “基于画像技术的学业预警与干预研究”(2022xjq12)。

Exploration and Practice of Ideological and Political Teaching in Data Visualization Course

  1. (Faculty of Computer and Information, Kunming Metallurgy College, Kunming 650033, China)
  • Received:2023-08-31 Online:2024-02-20 Published:2024-09-30

摘要: 针对高等职业教育中大数据技术专业类的人才培养实际难题,以人才培养方案为指导、学情分析为出发点,基于数据可视化的课程内容及课程目标,提出项目导向式的课程思政教学模式。从课程思政目标、专业内容与课程思政、课程特点等方面挖掘思政元素,进而阐述课程思政的总体设计,同时也说明了使用的4种教学方法如何促进课程思政培养目标的达成。最后以其中一个章节为例介绍了教学实践过程,并总结了课程思政教学效果。实践证明,在专业课程中融入思政元素具有“易理解”“会动手”“有互动”“勤思考”的育人效果。

Abstract: To address the difficulties in the talent cultivation of the specialty of big data technology and therelevant specialties in higher vocational education, we propose a project-oriented teaching mode of ideological and political education based on the course content and course objectives of the data visualizationcourse. With the guidance of talent cultivation program and the analysis of leaming situation as the startingpoint, we explore the elements of cunriculum-based ideological and political education in tems of the ob-jectives, professional content and curriculum characteristies, and then describe the overall design of curriculum-based ideological and political education. Additionally, we explain how the four teaching methodsused contribute to the achievement of the training target of curriculum-based ideological and political edu-cation. Finally, one of the chapters in the course is used as case study to introduce the process of teachingpractice and summarize the elfectiveness of ideological and political teaching in the course. Practice hasproved that the integration of ideological and political elements into professional courses has the effect ofbeing “easy to understand”, “hands-on”, “interaction motivating” and “critical thinking promoting”.

Key words: data visualization, curriculum-based ideological and political education, project-based teach-ing

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