Automated Enrichment of Course Structure into Moodle logs: The Contribution of Context-Aware Structural Information to Advance Learning Analytics

This article presents a methodology for advancing Learning Analytics by automatically reconstructing the organisational structure of Moodle courses leveraging platform logs and backup data. Using an extensive, pseudonymised dataset gathered from twelve undergraduate courses, we illustrate how student activity records can be enriched with structural information. This methodology integrates xAPI statements with parsed XML data from Moodle course backups to create directed graph representations that capture both hierarchical and sequential relationships among sections and activities. By introducing graph-based structural modelling into Learning Analytics practice, we provide new tools to facilitate replicable and context-aware analytics, enabling deeper insights into the relationship between course structure and learning behaviours, as well as actionable enhancement of digital course design.