Education data can be divided into four layers from the inside out: the foundation layer, state layer, resource layer and behavior layer.

1, education is an ultra-complex system involving teaching, management, teaching and research, services and many other businesses. Unlike the financial system, which has a clear, standardized and consistent business process, the education business in different regions and schools has a certain degree of ****, but the differences are also very prominent, and the differences in the business directly lead to a more diversified source of education data and more complex data collection.

2, the basic layer: that is, our country's most basic data, is highly confidential data; including the Ministry of Education in 2012 issued a series of seven education management information standards mentioned in all the data, such as school management information, administrative information and education statistics information; state layer: a variety of equipment, environment and business operation state of the data; inevitable equipment, energy consumption, failures, running time, classroom lighting and teaching progress. time, classroom light and teaching progress, etc..

3. Resource Layer: The top layer is about user behavior data in the field of education. For example, PPT courseware, microclasses, teaching videos, pictures, games, teaching software, posts, questions and test papers, etc.; Behavioral layer: stores the behavioral data of expanding education-related users, such as students' learning behavioral data, teachers' teaching behavioral data, teaching and researchers' teaching guidance behavioral data, and administrators' system maintenance behavioral data.

Categorization of education data

1. From the viewpoint of the business source of data generation, it includes teaching data, management data, research data and service data. From the technical scene of data generation, including perceptual data, business data and Internet data and other types.

2. From the point of view of the degree of data structuring, it includes structured data, semi-structured data and unstructured data. Structured data is suitable to be stored in two-dimensional tables.

3, from the point of view of data generation, including process data and result data. Process data is the process of activities collected, difficult to quantify the data; results of the data is often manifested in some quantifiable results such as achievements, grades, quantities and so on.