New paper “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 […]
Generating xAPI logs from tabular data: The csv2xAPI tool
Our solution to combine data from multiple sources in the scope of the ISILA project consists of a tool to convert from pretty much any CSV file (or other tabular format) to xAPI JSON logs that can be sent to a Learning Record Store. The tool that we have developed for this purpose is called […]
Capturing the granularity of video watching with xAPI
A common problem with Learning Management System data is the granularity of the collected data. For example, if a teacher uploads a video lecture for students to watch, the only data collected is whether students opened the video link or not, but not whether they followed the video for its entire duration, the moments they […]
Data architecture
A key challenge in the ISILA project is to combine data from multiple sources together to be able to take informed actions that involve as much relevant information to the study context as possible. In the previous post, we discussed potential data sources: LMS logs, surveys, videos, Discord messages, etc. Based on these requirements, we […]
Data sources
The main goal of the ISILA project is to combine data from multiple sources to provide teachers with relevant information on their students, so they can make timely interventions to improve their learning. In the first stage of the project, each partner investigates which data sources are relevant to their own teaching implementations. Our first […]