Design and implementation of students' score correlation analysis system

Jianhua Gu, Xingshe Zhou, Xutao Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

To make full use of students' score and discover relationships among courses, we designed and implemented a system based on web for students' score correlation analysis. The system can find the relationships among courses with students' score or grade rank of students' score. We use the Manhattan distance and correlation coefficient to measure the correlation between two courses. The system adopts 3-tier Browser/Server architecture, which composes of a presentation layer, a domain logic layer and a data access layer. The system can draw scatter plot, calculate Manhattan distance, calculate correlation coefficient and mine association rules with students' score or grade rank of students' score. There are two kinds of correlation coefficient in the system: the Pearson and the Spearman. In order to obtain association rules meeting user requirements, the minimal support and the minimal confidence in association rules mining can be set conveniently. The analysis results are displayed in form of tables and graphics. Graphics are drawn in the Canvas element of HTML5 with JavaScript. With the help of the system, we can find relationships and association rules among different courses.

Original languageEnglish
Title of host publication2018 International Conference on Big Data and Education, ICBDE 2018
PublisherAssociation for Computing Machinery
Pages90-94
Number of pages5
ISBN (Electronic)9781450363587
DOIs
StatePublished - 9 Mar 2018
Event2018 International Conference on Big Data and Education, ICBDE 2018 - Honolulu, United States
Duration: 9 Mar 201811 Mar 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2018 International Conference on Big Data and Education, ICBDE 2018
Country/TerritoryUnited States
CityHonolulu
Period9/03/1811/03/18

Keywords

  • Association rules
  • Correlation analysis
  • Correlation coefficient
  • Manhattan distance
  • Scatter plot
  • Students' score

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