Posted on by Rafael Scapin

Predicting student performance: an application of data mining methods with an educational Web-based system

Web-based educational technologies enable researchers to analyze student learning by applying data mining to usage patterns, predicting final grades based on logged data. Using a combination of classifiers and a genetic algorithm (GA), the study significantly improves prediction accuracy, aiding early identification of at-risk students in large classes for timely intervention.

https://www.researchgate.net/publication/4054565_Predicting_student_performance_an_application_of_data_mining_methods_with_an_educational_Web-based_system

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