Learning management system log analytics: the role of persistence and consistency of engagement behaviour on academic success

Abstract This study investigated the relationship between students’ persistence and consistency of engagement behaviour and their learning performance. A total of 130 students’ LMS interaction logs were analysed. First, the study confirmed a positive relationship between persistence, consistency of engagement, and performance, with the relationship strengthening over the semester. Next, it demonstrated that persistence and consistency are stable, reliable measures positively influencing learning performance across different learning intervals. Consistent, high engagement was associated with better grades. The study revealed a crucial engagement pattern: students exhibiting high consistency and persistence achieved the best performance compared to other combinations. Finally, machine learning methods demonstrated the feasibility of early intervention for at-risk students at 25%, 50%, and 75% of the semester using consistency and persistence measures as predictors, achieving 65% classification accuracy. This research contributes to understanding the need for educators and instructional designers to create online learning environments that encourage persistent and consistent LMS engagement. This approach is vital for achieving effective learning outcomes.