Information literacy data mining method and system applied to education informatization

Abstract

The invention discloses an information literacy data mining method and system applied to education informatization, computer equipment and a storage medium. The method comprises the following steps: collecting information literacy test data, index structure data and index parameter data input by a testee; constructing an information literacy model generation program, the information literacy modelgeneration program being used for receiving the index structure data and the index parameter data, and generating a Bayesian network-based information literacy model according to the index structuredata and the index parameter data; and constructing an information literacy data mining program which is used for receiving the information literacy model and the test data and outputting an information literacy test result. According to the method, the dependency relationship between complex data can be accurately expressed by a computer language, and the interpretation capability is high, so that the data mining accuracy is improved, and the data value is high.

Description

technical field [0001] The invention belongs to the technical field of data mining, and more specifically relates to an information literacy data mining method and system applied to education informatization. Background technique [0002] Under the wave of rapid development of informatization, the field of education has been fully integrated with computer technology and evolved into rich and colorful forms. Different from the previous data analysis that relied on manual experience, the modern information literacy data mining method uses computer technology to fully mine valuable information from massive test data, and realizes the visualization and automatic analysis of measurement data. The specific application of technology in the field of educational informatization has a wide range of application scenarios and extremely high application value. However, in the existing data mining methods for information literacy, the data mining models are simple and inflexible, and can...

AI Technical Summary

Problems solved by technology

However, in the existing data mining methods for information literacy, the data mining models are simple and inflexible, and cannot accurately express the dependencies between complex data in computer language, and the interpretation ability is not strong, which leads to the inability of the mined data to be accurate and objective. It reflects the real situation of the data, and the value of the data is low

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