1. Big data can promote personalized learning and differentiated teaching. Relying on big data technology, we can collect multi-link and multi-dimensional dynamic education big data including teachers, students and managers, covering the whole teaching process before, during and after class. Based on these data, data mining can accurately grasp the learning situation and teaching effect, analyze the influencing factors of learning and formulate targeted teaching improvement strategies.

2. Big data can promote the innovation of teaching methods and reshape the learning mode. The comprehensive analysis of teaching process and teaching effect data can help schools and teachers grasp the new connotation of the reform of teaching and research forms, integrate innovative teaching concepts and explore new teaching methods. Teaching is driven by measurement and teaching research is driven by data.

3. Big data can promote the accuracy of teaching management and scientific decision-making. Education quality monitoring is the beacon light, ruler, physical examination instrument and booster of education. By building a regional education quality evaluation and monitoring system based on big data technology and building an education think tank, we can realize real-time and accurate observation and analysis of education quality, promote the transformation of education management from empirical, extensive and closed to refined, intelligent and visual, empower students to teach students in accordance with their aptitude and help regional education governance.