Enhances Mooshak 2.0 with graph-based diagram evaluation capability, automated feedback generation, and extensible web editing.
Diagrammatic languages are widely used in computer science education for modeling software systems, databases, and algorithms. However, automatically grading diagrams in competitive or educational assessment platforms remains challenging. This paper presents an integrated extension for Mooshak 2.0 that automates the evaluation of visual diagrams. The system pairs the Eshu web editor with a graph matching engine that evaluates student submissions against reference solution models, calculates structural and semantic similarity scores, and returns detailed feedback to learners.
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OASIcs, Volume 145, ICPEC 2026
While Learning Management Systems (LMS) like Moodle are ubiquitous in higher education, they often lack dynamic, personalized academic support. We present GamiBot, an intelligent pedagogical agent natively integrated into Moodle to bridge this gap. GamiBot combines Large Language Model (LLM)…
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Presents GamiBot, an AI-powered pedagogical agent integrated into Moodle combining conversational RAG assistance, automated feedback, and native gamification mechanics.
Electronics
Automated assessment tools for programming assignments have become increasingly popular in computing education. These tools offer a cost-effective and highly available way to provide timely and consistent feedback to students. However, when evaluating a logically incorrect source code, there are…
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