AI & Ethics
Bias and Fairness in Machine Learning Models for Student Evaluation
Reading Time: 5 minutesMachine learning systems are increasingly embedded in educational environments. From automated essay scoring and predictive analytics to plagiarism detection and early-warning systems, algorithms now influence how students are evaluated, supported, and sometimes disciplined. These tools promise efficiency, scalability, and objectivity. Yet they also introduce new risks: bias, opacity, and systemic unfairness. When machine learning models […]
February 26, 2026
5 min read