2026-08-25T03:57:50Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:26754 2026-07-22T11:06:00Z ddc:004 open_access

Bridging Generative AI and Gamification in Moodle: Design and Evaluation of GamiBot Paiva, José Carlos Queirós, Ricardo de Almeida, Raquel Simões Terroso, Teresa Pinto, Mário Generative AI Educational chatbot Pedagogical agent Gamification Moodle Retrieval-augmented generation Self-regulated learning 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) assistance, Retrieval-Augmented Generation (RAG) grounded in course materials, adaptive quizzes, and a structured gamification backend. To evaluate its effectiveness, we conducted a two-week pilot study across two higher education institutions. Results from telemetry (773 interactions) and student surveys demonstrated high system usability (74.6% positive sentiment) and strong chatbot performance (69.4%). Students heavily favored active self-regulation, dedicating 53% of interactions to generating adaptive quizzes rather than passive content summaries. Conversely, gamification elements received mixed feedback (31.7%), underscoring the need for technical refinement and high customizability. Ultimately, GamiBot suggests that integrating generative AI directly into existing LMS workflows can provide reliable, context-aware formative support that aligns with self-regulated learning strategies. Schloss Dagstuhl – Leibniz-Zentrum für Informatik José Carlos Paiva and Ricardo Queirós and Raquel Simões de Almeida and Teresa Terroso and Mário Pinto 2026 Is Part Of OASIcs, Volume 145, 7th International Computer Programming Education Conference (ICPEC 2026) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ICPEC.2026.17 urn:nbn:de:0030-drops-267545 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2026.17 eng https://creativecommons.org/licenses/by/4.0/legalcode