A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning

A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning

Machine learning (ML) has become integral in educational decision-making through technologies such as learning analytics and educational data mining. However, the adoption of machine learning-driven tools without scrutiny risks perpetuating biases. Despite ongoing efforts to tackle fairness issues,...

Full description

Bibliographic Details
Main Authors: Tarid Wongvorachan, Okan Bulut, Joyce Xinle Liu, Elisabetta Mazzullo
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Information
Subjects:
machine learning
bias mitigation
educational data mining
predictive bias
classification
Online Access:https://www.mdpi.com/2078-2489/15/6/326

Internet

https://www.mdpi.com/2078-2489/15/6/326

Similar Items