With the development of big data concept， massive data in education field is recorded and collected. How to make full use of educational data to assist educational decision-making has become the main trend in the next step of educational big data research. The key to the application of educational big data lies in mining the educational phenomena and laws behind the data. Based on this， this study takes the structural evolution of educational big data as the starting point， analyzes the complexity of educational big data structure， and proposes a large pyramidal network data structure. The proposed of pyramidal network data structure solves the path problem of education data mining and the problem of system upgrading and reconstruction， and promotes the construction of a new education system based on data. |
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