Learning about Student Performance from Moodle logs in a Higher Education Context

Abstract

Learning Management Systems (LMS) are educational tools used to plan, implement and assess the learning-teaching procedure. LMS are continuously acquiring data from students in their learning progress when they interact with the platform. In this work, we use statistically-based approaches to learn about student performance solely using data from Moodle LMS, which is widely used along the educational institutions around the world. Using logged data from several subjects and degrees, our results indicate that the number of interactions with the LMS is a good indicator of student performance and can potentially be used as a measure to track students’ learning progress.