Machine Learning Method for High-Dimensional Education Data

  • Haiyan Bai (University of Central Florida)
  • Xing Liu (Eastern Connecticut State University)
  • Fangxing Bai (University of Cincinnati)
  • Yuting Chen (University of Central Florida)
  • Randyll Pandohie (University of Central Florida)


Machine learning has become one of the important methods to process big data. It has made a breakthrough in the limitations of traditional statistical models dealing with high-dimensional data. The current study is to introduce and discuss about how machine learning method can be implemented in high-dimensional education data and help with increasing the model efficacy in dealing with high-dimensional education data. A demonstration of the implementation with an empirical data set is also provided.

Keywords: Machine learning, high-dimensional data, educational research

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Published on
01 Oct 2022
Peer Reviewed