Data mining is the most important s

Data mining is the most important step to improve teachers' data intelligence. Data decision-making must rely on methods such as statistics and data mining. As a data analysis method, these methods have become the technical tools of school data team. School administrators and teachers need to understand how data mining and learning analysis methods actually work to identify learner centered problems. Data mining as a teacher depends on mastering the core skills of big data. "The core technologies of big data include massive parallel processing database, distributed file system, distributed database, cloud computing platform, Internet and scalable storage system." Teachers mine school data to find common problems in student learning or teacher education. This is a prerequisite for making data-driven teaching decisions.Mastering students' big data is the starting point for teachers to improve data intelligence. Unlike in the past, student big data is no longer data. It is easier to quantify students' learning objectives and motivation, learning needs and teachers' feedback, teachers' teaching methods, schools, culture, as well as clear and difficult intangible data such as students' test scores, class scores and school district rankings. The process of school data mining needs to establish a school data team. School data analysis model the model should have a clear framework, including data source, data content, data analysis method selection, action plan, current situation analysis, education strategy improvement, etc. Consciously improve your data intelligence.