Abstract—The students’ academic achievement is the
globally general criteria to evaluate effectiveness of the
education, while in addition to the students’ own talents, efforts
and educational resources, the family’s Socioeconomic Status
(SES) plays a crucial role. The previous studies target the
indicators of SES scale, while this thesis initially breaks the
drawbacks and limitations of the conventional scale
methodology in the research of household wealth survey,
utilizing the Big Data Theory to carry out a household wealth
survey from 27k students’ families of 56 primary schools in a
district of Shanghai. Eventually, the thesis implements the
analysis of the household wealth’s effect on the academic
Index Terms—Big data, family’s welfare, SES, student’s score, web crawler.
Xuesheng Qian is with the Antai College of Economics and Management, Shanghai Jiaotong University, China (e-mail: firstname.lastname@example.org).
Yifeng Xu, Jing Zhang, and Wei Zhao are with Psylife Consulting Co.,Ltd, Shanghai, China.
Cite: Xuesheng Qian, Yifeng Xu, Jing Zhang, and Wei Zhao, "The Big Data Based Effect of Household Wealth on Elementary Student Achievement (Take Shanghai for Example)," International Journal of Information and Education Technology vol. 7, no. 11, pp. 863-869, 2017.