首页|人工智能课程群思政教学资源的挖掘、整合与融入

人工智能课程群思政教学资源的挖掘、整合与融入

扫码查看
本文构建了"四层"人工智能课程群课程体系,对人工智能课程群的课程内容进行整合与重构;围绕课程群内各课程的教学目标和讲授内容,挖掘各课程思政元素,根据课程间的内容联系和逻辑关系,将思政元素整合为爱国主义和科技兴国、科学思维和工匠精神、创新开放和工程思维、科学伦理和职业道德等四类,并有机融入课程教学,形成界限分明、互为补充、各具特色的思政课程体系;通过课程考核评价机制验证人工智能课程群的思政教学成效。实践结果表明,该课程群思政教学有助于实现价值塑造、能力培养和知识传播的课程目标。
Mining,integration and incorporation of ideological and political teaching resources in artificial intelligence course group
This paper constructs a"four-layer"artificial intelligence course system,and integrates and reconstructs the course content of the artificial intelligence course group.According to the teaching objectives and contents of each course in the course group,we actively explore the political and ideological elements in each course.According to the content relationship and logical relationship between the courses,we integrate the political and ideological ele-ments into four categories:patriotism and developing our country through science and technology innovation,scientif-ic thinking and craftsmanship,innovation and openness and engineering thinking,and scientific ethics and work eth-ics.We organically incorporate them into the teaching process of the courses,so as to form a system of courses with clear boundaries,complementing each other with their own characteristics of the ideological and political course sys-tem.Through the course evaluation mechanism,we verified the effectiveness of the ideological and political educa-tion of the artificial intelligence course group.The practice results show that the ideological and political education of this course group helps to achieve the course objectives of knowledge transmission,ability cultivation and value guidance.

introduction to artificial intelligencecourse grouppolitical and ideological education in coursecurricu-lum systemteaching resources

赵嘉、陆伟锋、谭德坤、韩龙哲、谢飞

展开 >

南昌工程学院信息工程学院,江西南昌 330099

人工智能导论 课程群 课程思政 课程体系 教学资源

江西省高等学校教学改革研究重点项目

JXJG-22-18-5

2024

南昌工程学院学报
南昌工程学院

南昌工程学院学报

影响因子:0.272
ISSN:1006-4869
年,卷(期):2024.43(2)
  • 15