A support vector regression-based prediction of students' school performance

Jui Hsi Fu, Jui Hung Chang, Yueh Min Huang, Han Chieh Chao

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

The relationship between a person's personality and performance has long been studied by psychologists. Research suggests that a person's performance and behavior are related to personality characteristics and background data to a certain degree. In this paper, the Big Five personality model is adopted for measuring profiles of students, whose undergraduate performance and behavior are then analyzed. A machine learning approach, support vector regression (SVR), is employed to find correlations from the given sample data. The performance and behavior of a person are predicted from the obtained regression values. Personality, biological, performance, and behavior data of 120 undergraduates in Taiwan were collected through questionnaires. Ninety valid data samples are used for training in SVR and the others are used for evaluating the regression predictions. Most of the predicted performance yielded near 80% accuracy. It is shown that there are correlations between a person's performance and personality characteristics. SVR is shown to be a suitable method for exploring personality correlations.

原文English
主出版物標題Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
頁面84-87
頁數4
DOIs
出版狀態Published - 2012
事件2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan
持續時間: 2012 六月 42012 六月 6

出版系列

名字Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Other

Other2012 International Symposium on Computer, Consumer and Control, IS3C 2012
國家/地區Taiwan
城市Taichung
期間12-06-0412-06-06

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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