Articles
Authors: 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
How to Cite: Bai, H. , Liu, X. , Bai, F. , Chen, Y. & Pandohie, R. (2022) “Machine Learning Method for High-Dimensional Education Data”, Journal of Methods and Measurement in the Social Sciences. 13(1). doi: https://doi.org/10.2458/jmmss.5396