Among them, "big" mainly refers to the volume. In most cases, the data we use at this stage can't reach this "big" level.
In the application of data analysis in the education industry, the main pain points are as follows:
1. The data coverage is narrow.
The main source of data is the digital campus system, and other teaching management data are mostly unstructured data entered by hand, with few data dimensions and insufficient data sources.
2. The data interface is not perfect
The data of educational administration system, all-in-one card system, library system and financial system of internal information system are irregular and inconsistent, and the data structures are different. The business system interface is difficult, and the business interface and data structure are not standardized.
3. Lack of a unified data management platform
There is no unified data processing center to manage data, and there is no manpower to maintain the access of various systems. The amount of effective data is small and the data quality is poor, which can not meet the requirements of big data processing and analysis.
The combination of big data and education is the general trend. In the context of educational big data, knowledge teaching is no longer only carried out in schools. As teachers, we should clearly understand what the function of education is, that is, education is growth. In such an era of big data, human growth should be promoted to an important position.