Artifacts: From LMS Data to Institutional Insight: A Python-Based Automation for Academic Assessment Reports

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Authors: da Silva Marcos Antonio, Cunha Caio, Anrafel Fernandes Pereira
Cited by: 0

Abstract

This repository contains a Python-based data processing pipeline for the automated generation of institutional academic assessment reports from data exported from the Moodle 4.1.6 Learning Management System (LMS). The artifacts support reproducible research in Software Engineering and Data Science.

Fields of Study & Subjects

Online Learning and Analytics Educational Technology and E-Learning Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Document type
Dataset