Student Performance Prediction Model Based on Discriminative Feature Selection

Authors

  • Haixia Lu Shijiazhuang Preschool Teachers College
  • Jinsong Yuan Shijiazhuang Preschool Teachers College

DOI:

https://doi.org/10.3991/ijet.v13i10.9451

Keywords:

data mining, feature selection, support vector machine (SVM), student perfor-mance prediction model

Abstract


It is a hot issue to be widely studied to determine the factors affecting students' performance from the perspective of data mining. In order to find the key factors that significantly affect students' performance from complex data, this paper pro-poses an integrated Optimized Ensemble Feature Selection Algorithm by Density Peaks (DPEFS). This algorithm is applied to the education data collected by two high schools in China, and the selected discriminative features are used to con-struct a student performance prediction model based on support vector machine (SVM). The results of the 10-fold cross-validation experiment show that, com-pared with various feature selection algorithms such as mRMR, Relief, SVM-RFE and AVC, the SVM student performance prediction model based on the fea-ture selection algorithm proposed in this paper has better prediction performance. In addition, some factors and rules affecting student performance can be extracted from the discriminative features selected by the feature selection algorithm in this paper, which provides a methodological and technical reference for teachers, edu-cation management staffs and schools to predict and analyze the students’ per-formances.

Author Biographies

Haixia Lu, Shijiazhuang Preschool Teachers College

Haixia Lu, female, graduate student, lecturer, born in Shijiazhuang, Hebei Province in 1977, has worked in the Shijiazhuang Preschool Teachers College since 1999. She has been engaged in education technology and related education teaching. The research direction is education technology. She presided over the research topic on the Role of Microteaching in the Professional Skills Training of Preschool Teachers, and cooperated with others to complete some research topics in education and teaching.

Jinsong Yuan, Shijiazhuang Preschool Teachers College

Jinsong Yuan is from Shijiazhuang Preschool Teachers College.

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Published

2018-10-26

How to Cite

Lu, H., & Yuan, J. (2018). Student Performance Prediction Model Based on Discriminative Feature Selection. International Journal of Emerging Technologies in Learning (iJET), 13(10), pp. 55–68. https://doi.org/10.3991/ijet.v13i10.9451

Issue

Vol. 13 No. 10 (2018)

Section

Papers

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