Children's Educational Trajectories in Context: What Can They Reveal about Their Reading Performance Using Machine Learning?

Accurate models predicting low and high levels of Vietnamese language performance were developed as part of an international large-scale project in primary education in Vietnam. We compared artificial neural networks (ANN) with logistic regression models. Results suggest ANN improves the accuracy of classification and provide a guide for educational policies.