IJIET 2017 Vol.7(11): 863-869 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.11.986

The Big Data Based Effect of Household Wealth on Elementary Student Achievement (Take Shanghai for Example)

Xuesheng Qian, Yifeng Xu, Jing Zhang, and Wei Zhao

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 achievement.

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: e_qianxuesheng@126.com).
Yifeng Xu, Jing Zhang, and Wei Zhao are with Psylife Consulting Co.,Ltd, Shanghai, China.

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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.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net