EurecaChat: A Multi-Agent LLM-Based Chatbot for Supporting Students, Faculty, and University Administration

  • Matheus Hensley de Figueiredo e Silva UFCG
  • Levi de Lima Pereira Júnior UFCG
  • David Eduardo Pereira UFCG
  • Beatriz de Souza Meneses UFCG
  • Kemilli Nicole dos Santos Lima UFCG
  • José Robson da Silva Araujo Junior UFCG
  • Leandro Balby Marinho UFCG
  • Eliane Cristina Araújo UFCG

Abstract


Academic data plays a crucial role in guiding students as they plan their curricular paths, supporting professors in refining their courses, and enabling administrators to make evidence-based decisions. Despite its importance, such data are often difficult to access. Even under open data policies, barriers to usability and accessibility frequently limit its impact. In this work, we present EurecaChat, a multi-agent chatbot system that allows users to retrieve academic data through natural language. Built on Large Language Models (LLMs), EurecaChat tailors responses to the needs of different user profiles: students, faculty, and staff, while ensuring compliance with data privacy constraints. Preliminary evaluation shows good performance in several use cases, underscoring the potential of the system to democratize access to academic data and promote more informed decision making in educational environments.
Keywords: chatbot, university, multi-agent, LLM

References

Alaa Aloqayli and Hoda Abdelhafez. 2023. Intelligent Chatbot for Admission in Higher Education. International Journal of Information and Education Technology 13, 9 (2023), 1348–1357. DOI: 10.18178/ijiet.2023.13.9.1937

Pica Atmauswan and Akibu Abdullahi. 2022. Intelligent Chatbot For University Information System Using Natural Language Approach. Albukhary Social Business Journal 3 (12 2022), 6. DOI: 10.55862/asbjV3I2a007

S. Bieletzke. 2023. AI-CHATBOT-INTEGRATION IN CAMPUS-MANAGEMENTSYSTEMS. In EDULEARN23 Proceedings (Palma, Spain) (15th International Conference on Education and New Learning Technologies). IATED, 3574–3583. DOI: 10.21125/edulearn.2023.0971

Omar Chamorro-Atalaya, Madison Huarcaya-Godoy, Víctor Durán-Herrera, Constantino Nieves-Barreto, Raul Suarez-Bazalar, Yreneo Cruz-Telada, Ronald Alarcón-Anco, Hilda Huayhua-Mamani, Ademar Vargas-Diaz, and Denisse Balarezo-Mares. 2023. Application of the chatbot in university education: A systematic review on the acceptance and impact on learning. Int. J. Learn. Teach. Educ. Res. 22, 9 (Sept. 2023), 156–178.

Hoa Dinh and Thien Khai Tran. 2023. EduChat: An AI-Based Chatbot for University-Related Information Using a Hybrid Approach. Applied Sciences 13, 22 (2023). DOI: 10.3390/app132212446

Igor Estrela, Kleydson Barbosa, Claudiny Brito, and Carlos S. Neto. 2024. Ferramenta CosmoBot:UmChatbot de Apoio a Alunos em Avaliações de Algoritmos. In Anais do XXXV Simpósio Brasileiro de Informática na Educação (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 380–391. DOI: 10.5753/sbie.2024.242585

Debmitra Ghosh, Sayani Ghatak, and Hrithik Paul. 2023. A Proposed Cognitive Framework Model for a Student Support Voice based Chatbot using XAI. Research Square (2023). DOI: 10.21203/rs.3.rs-2888180/v1

Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, and Xiangliang Zhang. 2024. Large Language Model based Multi-Agents: A Survey of Progress and Challenges. arXiv:2402.01680 [cs.CL] [link]

Nikita Kanodia, Khandakar Ahmed, and Yuan Miao. 2021. Question Answering Model Based Conversational Chatbot using BERT Model and Google Dialogflow. In 2021 31st International Telecommunication Networks and Applications Conference (ITNAC). 19–22. DOI: 10.1109/ITNAC53136.2021.9652153

Qiaomu Li, Ying Xie, Sumit Chakravarty, and Dabae Lee. 2024. EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support. In 2024 IEEE International Conference on Big Data (BigData). 8309–8316. DOI: 10.1109/BigData62323.2024.10826103

José Rodrigues Neto, Péricles Miranda, Rafael Mello, and André Nascimento. 2022. Chatbot to Support Frequently Asked Questions from Students in Higher Education Institutions. In Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (Campinas/SP). SBC, Porto Alegre, RS, Brasil, 591–601. DOI: 10.5753/eniac.2022.227553

Neelkumar P. Patel, Devangi R. Parikh, Darshan A. Patel, and Ronak R. Patel. 2019. AI and Web-Based Human-Like Interactive University Chatbot (UNIBOT). In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). 148–150. DOI: 10.1109/ICECA.2019.8822176

Michael Tamascelli, Olivia Bunch, Blake Fowler, Maryam Taeb, and Achraf Cohen. 2025. Academic Advising Chatbot Powered with AI Agent. In Proceedings of the 2025 ACM Southeast Conference (Southeast Missouri State University, Cape Girardeau, MO, USA) (ACMSE 2025). Association for Computing Machinery, New York, NY, USA, 195–202. DOI: 10.1145/3696673.3723065
Published
2025-11-10
FIGUEIREDO E SILVA, Matheus Hensley de; PEREIRA JÚNIOR, Levi de Lima; PEREIRA, David Eduardo; MENESES, Beatriz de Souza; LIMA, Kemilli Nicole dos Santos; ARAUJO JUNIOR, José Robson da Silva; MARINHO, Leandro Balby; ARAÚJO, Eliane Cristina. EurecaChat: A Multi-Agent LLM-Based Chatbot for Supporting Students, Faculty, and University Administration. In: WORKSHOP ON TOOLS AND APPLICATIONS - BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 31. , 2025, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 107-110. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2025.16419.