A standard framework for education big data has been established to address issues such as data interconnection and efficient collaboration in the education system. The aim is to enrich the dimensions and types of educational data that can be collected in various teaching modes, break down the barriers of data exchange on education platforms through the construction of standard education data models, accelerate data co construction and sharing, and provide framework references and content standards for promoting the standardized development and utilization of education big data in China. The established education big data standard system consists of eight parts: education big data basic standards, education resource standards, education target standards, education behavior standards, education technology standards, education management standards, education application standards, and education data security standards.

In response to the characteristics of unstructured, distributed, heterogeneous, and dispersed sources of educational big data, a series of educational big data standards have been developed under the guidance of learning science and educational teaching related theories, forming an educational big data standard system. The education big data standard system consists of basic, resource data, object data, behavioral data, supporting technology, management, application, and security standards.