Improving Student Engagement through Learning Analytics and Early Interventions with Learning Locker

BMU authors, Anđela Grujić, Jovana Jović, Mladen Opačić, Emilija Kisić, and Nemanja Zdravković, presented the results of their ISILA piloting in three courses, at the eLearning 2025 conference.

Each course has integrated the University’s Learning Management System, Learning Locker as a Learning Record Store, while Self-Regulated Learning (SRL) surveys are conducted to collect and analyze student activity data. Learning analytics dashboards are used to identify students at risk of disengagement or low achievement, prompting personalized and general interventions during key points in the semester.

Results indicate that targeted communication, flexible deadlines, and additional learning sessions positively influenced engagement and submission rates. The study demonstrates how combining SRL data and learning analytics supports early identification of learning barriers and offers practical insights for improving academic outcomes through evidence-based decision-making.

Check out the full paper!

Grujić et al. (2025) Improving Student Engagement through Learning Analytics and Early Interventions with Learning Locker. (eLearning Conference. https://elearning.metropolitan.ac.rs/elearning-conference-2025/improving-student-engagement-through-learning-analytics-and-early-interventions-with-learning-locker/