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Venera Nakhipova; Yerzhan Kerimbekov; Zhanat Umarova; Halil ibrahim Bulbul; Laura Suleimenova; Elvira Adylbekova – International Journal of Information and Communication Technology Education, 2024
This article introduces a novel method that integrates collaborative filtering into the naive Bayes model to enhance predicting student academic performance. The combined approach leverages collaborative user behavior analysis and probabilistic modeling, showing promising results in improved prediction precision. Collaborative Filtering explores…
Descriptors: Academic Achievement, Prediction, Cooperation, Behavior
Jade Mai Cock; Hugues Saltini; Haoyu Sheng; Riya Ranjan; Richard Davis; Tanja Käser – International Educational Data Mining Society, 2024
Predictive models play a pivotal role in education by aiding learning, teaching, and assessment processes. However, they have the potential to perpetuate educational inequalities through algorithmic biases. This paper investigates how behavioral differences across demographic groups of different sizes propagate through the student success modeling…
Descriptors: Demography, Statistical Bias, Algorithms, Behavior

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