摘要
在职业教育领域,运用大数据已经开展了不少的研究,特别在宏观管理、资源库建设、现代学徒制和人才培养方面。但很多研究存在不够系统化、不够全面化、缺乏实证基础的缺憾。可运用大数据方法进行全过程、全流程的监控,将原有研究中可能漏掉的变量纳入统计之中,建立起更为宏大的数据体系。在此基础上构建新的更加准确的模型,从而开发更全面的职业教育课程,建立更精确的职业能力测评体系,更客观的职业教育人才培养质量评价体系。
There are many articles about the application of big data in vocational education, most of which focus on the topic such as macro management, resources storehouse, modern apprenticeship and talent cultivation,and are less systematical, less comprehensive and lack of empirical evidence. The big data approach can be used in monitoring in the whole process. The big data approach can be applied to the overall process of supervision,thus bring the previously overlooked research variables into the statistics to build a more comprehensive data system. On basis of this, a more precise model can be constructed to develop more inclusive vocational education curricula, a more accurate vocational capacity testing system and a more objective quality assessment system of talent cultivation.
出处
《中国高教研究》
CSSCI
北大核心
2017年第4期107-110,共4页
China Higher Education Research
关键词
职业教育
大数据
应用
vocational education
big data
approach