Adaptive multi-agent tutoring AI for multimodal mathematics conversational learning

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dc.contributor.authorLe, Quy Minhen
dc.contributor.authorNguyen, Hoang D.en
dc.contributor.funderResearch Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2026-01-06T10:44:25Z
dc.date.available2026-01-06T10:44:25Z
dc.date.issued2025-10-26en
dc.description.abstractProviding tailored and multimodal academic support in mathematics remains a complex task, especially when the goal is to deliver timely assistance aligned with specific curricula. Many current question-answering (QA) systems are limited in interactivity, perform inconsistently across different input types (e.g., text, image, voice), and often fail to respond effectively to individual learning needs. These challenges are even more prominent in subjects like algebra or geometry, where abstract reasoning and step-by-step solutions are crucial. This paper introduces a conversational AI tutoring system grounded in Large Language Models (LLMs) and multi-agent design, with each agent addressing a specific instructional function (Informer, Verifier, Insight, Practice, Tutor). The system integrates multimodal inputs and features a personalized feedback loop that tracks student difficulties, updates learning records, and suggests suitable practice tasks or learning videos. Evaluated with ninth-grade students in Vietnam, the system has demonstrated promising results for both educational impact and broader applicability.en
dc.description.sponsorshipResearch Ireland (12-RC-2289- P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLe, Q. M. and Nguyen, H.D. (2025) 'Adaptive multi-agent tutoring AI for multimodal mathematics conversational learning', AIQAM '25: Proceedings of the 2nd ACM Workshop in AI-powered Question & Answering Systems, pp. 36-42. https://doi.org/10.1145/3746274.3760396en
dc.identifier.doi10.1145/3746274.3760396en
dc.identifier.endpage42en
dc.identifier.isbn979-8-4007-2056-7en
dc.identifier.journaltitleProceedings of the 2nd ACM Workshop in AI-powered Question & Answering Systemsen
dc.identifier.startpage36en
dc.identifier.urihttps://hdl.handle.net/10468/18365
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.relation.ispartofAIQAM'25 The 2nd ACM Workshop in AI-powered Question & Answering Systems in conjunction with ACM MM 2025, Dublin, Ireland, 27 October 2025en
dc.rights© 2025, the Authors. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.statusNot peer revieweden
dc.subjectMultimodal question answeringen
dc.subjectConversational AIen
dc.subjectIntelligent tutoring systemsen
dc.subjectRAGen
dc.subjectMulti-agent systemsen
dc.subjectAI in educationen
dc.subjectEmpirical studyen
dc.titleAdaptive multi-agent tutoring AI for multimodal mathematics conversational learningen
dc.typeConference itemen
dc.typeproceedings-articleen
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