Standards and management norms have been implemented in the education and teaching reform to promote the empowerment of education big data, including data collection and management standards, data analysis and mining standards, digital education resources construction and management standards, education and teaching evaluation and improvement standards, information security and privacy protection standards, and information security management standards.

1, data acquisition and management standard:

To realize the empowerment of big data to university education and teaching, we need to collect and manage a large amount of data first. These data include students' and teachers' personal information, grades, attendance rate, curriculum arrangement, teaching resources and so on. It is necessary to establish a perfect data collection and management mechanism to ensure the accuracy and integrity of data.

2, data analysis and mining standards:

The core value of big data lies in analyzing and mining valuable information in data. It is necessary to establish standards for data analysis and mining, including data cleaning, data visualization and algorithm selection. We should not only pay attention to the quality of data and the reliability of data analysis, but also consider the complexity and uncertainty in the process of education and teaching.

3, digital education resources construction and management standards:

Digital educational resources are the core of education and teaching in universities empowered by big data. It is necessary to establish standards for the construction and management of digital educational resources, including curriculum design, content compilation, resource sharing and copyright protection. We should not only ensure the quality and availability of digital education resources, but also pay attention to the updating and optimization of resources.

4, education and teaching evaluation and improvement standards:

Big data empowers education and teaching in colleges and universities, and it is also necessary to establish evaluation and improvement standards for education and teaching. It is necessary to use data analysis and mining technology to evaluate and diagnose the teaching effect, put forward improvement measures and optimize teaching methods and resources. At the same time, we need to pay attention to teacher training and management, and improve teachers' digital literacy and teaching ability.

5, information security and privacy protection standards:

In big data applications, information security and privacy protection are very important. It is necessary to establish perfect information security and privacy protection standards to protect the personal information and privacy of students and teachers. It is necessary to formulate relevant policies and regulations, strengthen data management and protection, and prevent information leakage and abuse.

6, information security management specification:

Formulate and strictly implement data security management measures to ensure the safe and legal use of education big data.