物联网数据处理课程教学创新与实践  被引量:1

Teaching Innovation and Practice of Internet of Things Data Processing Course

在线阅读下载全文

作  者:杨荣根[1] 徐楠[1] 周端[1] Yang Ronggen;Xu Nan;Zhou Duan(Jinling Institute of Technology,Nanjing,211169,China)

机构地区:[1]金陵科技学院,江苏南京211169

出  处:《中国现代教育装备》2023年第23期138-140,共3页China Modern Educational Equipment

基  金:金陵科技学院教改项目“面向新工科的物联网工程专业‘三融’‘三闭环’多元化人才培养体系研究”(编号:JYJG202119)。

摘  要:国与国之间、企业与企业之间的竞争归根结底是人才的竞争。中国的高等教育为社会各界培养了大量高级专门人才,但随着科技的飞速发展,社会对人才的素质和质量有了新的要求。为了适应新时代社会对人才的需求,高校的教学内容、教学方法和手段也需要不断发展和更新。近年来,为促进高等教育发展、全方位提升人才培养质量,教育部等出台了多个文件,提出了多项要求。以物联网数据处理课程为例,结合当前新工科建设、“三全育人”和课程思政背景,从教学内容设计、融入课程思政、引入信息技术手段方面进行了教学创新与实践探索。The competition between countries and countries,enterprises and enterprises come down to be talent competition.China's higher education has trained a large number of senior specialized scientific and technical personnel for all walks of life,but with the rapid development of science and technology,the society has new requirements on the quality and quality of talents.In order to adapt to the needs of the society for talents in the new era,the teaching content,teaching methods and means of colleges and universities need to be constantly developed and updated.In recent years,in order to promote the development of higher education and comprehensively improve the quality of talent training,the Ministry of Education has issued a number of documents and put forward a number of requirements.This paper takes the course of Internet of Things data processing as an example,combines the current background of new engineering construction,"three full education"and ideological and political education,and carries out teaching innovation and practical exploration from the aspects of teaching content design,integrating curriculum ideology and politics,and introducing information technology means.

关 键 词:新工科 “三全育人” 课程思政 教学创新 

分 类 号:G642[文化科学—高等教育学]

 

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