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Learning Management Systems like Moodle generate detailed logs from student interactions, offering significant potential for learning analytics and educational process mining. However, raw logs capture interaction-based actions rather than actual learning processes, limiting their pedagogical relevance. To address this, we developed Moodle2EventLog, a tool that automates the cleaning, preprocessing, and semantic enrichment of Moodle logs. The tool operates in two modules: the first cleans and structures logs by generating event logs with key elements (case IDs, activities, timestamps), and the second enriches them by grouping low-level events into context-aware sub-processes and maps them to "Semantic Activities" based on Bloom’s Taxonomy.
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A SLF data reader from the Galicia project for GALACTIC
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A FIMI data reader for GALACTIC. See Frequent Itemset Mining Implementations repository
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