Research on the Classification and Grading of Educational Data under the Background of Digital Transformation
As one of the basic systems for data security protection stipulated in the Data Security Law of the People's Republic of China,the implementation of the data classification and grading protection system is the fundamental part for data security governance and effective utilization.Considering that the education industry has mastered a large amount of education and teaching business data,as well as personal information of teachers and students,it is imperative to carry out the classification and grading of educational data.Therefore,following the research idea of"status analysis-problem mining-method construction-case verification",this paper firstly combed the development status of educational data under the background of digital transformation,and the research status of classification and grading of educational data at home and abroad.Secondly,this paper deeply analyzed the difficulties in classifying and grading educational data from three aspects of system,management and technology.Then,a set of methods for classification and grading of educational data were constructed from two aspects of rules and workflow for classification and grading of educational data.Finally,three education administrative departments and six universities were selected as pilot units to verify the feasibility and effectiveness of the methods for classification and grading of educational data.The proposed methods for classification and grading of education data were aimed to solve the problem of lack of unified standards to classify and grade educational industry data,and provide theoretical guidance for all units of the education system to carry out data classification and grading.
digital transformationeducational dataclassification and gradingpilot verification
NETL
NSTL
万方数据
