Feature Selection and Model Application of Machine Learning in Educational Quality Assessment

Xiaolan Li

doi:10.54097/dzx1de23

Authors

Xiaolan Li

DOI:

https://doi.org/10.54097/dzx1de23

Keywords:

Machine learning; Educational quality assessment; Feature Selection.

Abstract

In today's society, education, as a key force driving personal growth and social progress, is highly valued for its quality. Educational quality assessment is an important means to ensure and improve the quality of education. It not only helps educational institutions understand their own teaching effectiveness and identify problems in the teaching process, but also provides scientific basis for educational decision-making, promotes the rational allocation of educational resources, and ultimately achieves the goals of educational equity and quality improvement.

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