September 10, 2025Contemporary MathematicsOpen Access

Modelling User Behaviour from Log Information in an Online Learning Management System

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Engagement in an online learning management system positively influences students' academic grades.
Analysis from log information reveals significant correlations between learning activities and student performance.
Application of k-Means clustering and Naïve Bayes classification effectively identifies user behaviours in educational settings.
Automated techniques for processing log data can enhance understanding of student engagement and learning outcomes.

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Analysis uncovers insights linking user behaviour and academic performance, highlighting the value of automated clustering techniques.

Hamdiah et al. (2025) studied this question.

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