Author(s)

Yanqing Fang ¹

Affiliation(s)

¹ School of the English Language and Culture, Xiamen University Tan Kah Kee College, Xiamen, Fujian, China

Corresponding Author

Yanqing Fang

ABSTRACT

The usage of decision trees to analyze socio-economic factors has proven to be an effective way to understand the complexities of educational equity. Important variables like income levels, parental education, and access to resources, decision trees reveal key patterns that directly impact student performance. The visual format of decision trees provides an intuitive way to display these factors, making it easier for researchers, policymakers, and educators to pinpoint areas where interventions are most needed. Additionally, the insights gained from decision trees offer a solid foundation for developing targeted strategies to reduce disparities and improve learning outcomes for different demographic groups. This approach not only deepens our understanding of the socio-economic barriers to education but also provides a practical framework for creating policies that foster greater equity in education. Ultimately, decision trees are a valuable tool in bridging the gap between socio-economic challenges and educational success, helping to create more inclusive and effective educational systems.

KEYWORDS

Socio-Economic Factors, Decision Trees, Educational Equity Research

CITE THIS PAPER

Yanqing Fang, Analyzing Socio-Economic Factors Affecting Learning Outcomes with Decision Trees in Educational Equity Research. Advances in Vocational and Technical Education (2025) Vol. 7: 101-112. DOI: http://dx.doi.org/10.23977/avte.2025.070216.

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