摘要
数智化助力职业教育高质量发展可以将数字智能技术及大数据与职业教育发展有机结合。但是,职业教育在运用数智化上仍存在数智平台不完善、应用标准不统一、产教融合不深入等问题。因此,基于赋能方式和创新要素二维框架,对我国2019-2023年所颁布的职业教育政策进行分析,结果发现,赋能方式及创新要素主要为资源赋能、合作赋能及人才创新。利用语义分析、LDA主题、K-means聚类进一步挖掘发现,存在人才培养过程不完善、数字资源区域分布不协同、数智化跨界合作不深入以及对受教育者关注不足等问题。基于分析结果,需要完善职业教育数智化基础设施建设;推动职业教育体系数智化协同创新;赋能数据资源在产教融合共同体中的应用;构建跨界融合的职业教育数智平台;重视职业教育数智化过程的人文关怀。
Digital intelligence can help promote the high-quality development of vocational education by organically combining digital intelligence technology and big data with the development of vocational education.However,vocational education still faces problems such as incomplete digital platforms,inconsistent application standards,and insufficient integration of industry and education in the application of digital intelligence.Therefore,based on the two-dimensional framework of empowerment methods and innovative elements,an analysis was conducted on the vocational education policies issued in China from 2019 to 2023.The results showed that the main empowerment methods and innovative elements were resource empowerment,cooperative empowerment,and talent innovation.Further exploration using semantic analysis,LDA themes,and K-means clustering revealed issues such as incomplete talent cultivation processes,uncoordinated regional distribution of digital resources,limited cross-border cooperation in digital intelligence,and insufficient attention to the educatees.Based on the analysis results,it is necessary to improve the infrastructure construction of vocational education digital intelligence;promote digital intelligence collaborative innovation of the vocational education system;empower the application of data resources in the integration of industry and education communities;build a cross-border integrated vocational education digital intelligence platform;emphasize the humanistic concern in the process of digital intelligence of vocational education.
作者
林素絮
罗智超
林欣
Lin Suru;Luo Zhichao;Lin Xin
出处
《高等工程教育研究》
CSSCI
北大核心
2024年第5期133-139,共7页
Research in Higher Education of Engineering
基金
国家社会科学基金教育学“十三五”规划2019年度重点课题“职业学校与应用型本科产教融合评价体系与监测研究”(AJA190013)。
关键词
数智化
职业教育政策
高质量发展
文本编码分析
机器学习
digital intelligence
vocational education policies
high quality development
text encoding analysis
machine learning