Data Mining Based Research on Educational Satisfaction of Low-Income Groups

Abstract

This article takes Jingxi city as the research object, adopts the paradigm of path analysis, specifically combines the characteristics of questionnaire setting of poverty alleviation through education, takes the expectations of low-income families as the initial variables, selects the sense of security as research object, and selects social environment, security and educational conditions as intermediate variables. This article focuses on mechanism of its impact on the satisfaction degree of educational poverty alleviation policy. This article points out the problems existing in the education of low-income groups through field research and data mining, deeply analyzes the causes of the problems, and puts forward countermeasures and suggestions to improve the education satisfaction of low-income groups, so as to provide reference for education promotion in low-income areas.