@inproceedings{odeajo-jimmy-2026-edunaija,
title = "{E}du{N}aija {AI} Tutor: A Multi-Agent Retrieval-Augmented Generation System for {N}igerian Curriculum Education",
author = "Odeajo, Israel Olanrewaju and
Jimmy, Edifon Emmanuel",
editor = "Chimoto, Everlyn Asiko and
Lignos, Constantine and
Muhammad, Shamsuddeen and
Abdulmumin, Idris and
Siro, Clemencia and
Adelani, David Ifeoluwa",
booktitle = "Proceedings of the 7th Workshop on {A}frican Natural Language Processing ({A}frica{NLP} 2026)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.africanlp-main.11/",
pages = "113--115",
ISBN = "979-8-89176-364-7",
abstract = "Equitable access to quality education remains a critical challenge in Nigeria, where millions of students prepare annually for standardized examinations (WAEC, NECO, JAMB) with limited access to personalized tutoring (Badei et.al, 2024). This research presents EduNaija AI Tutor, a multi-agent Retrieval-Augmented Generation (RAG) system designed to democratize educational support through AI-powered tutoring aligned with Nigerian curricula. The system integrates conversational AI with document-based question answering, automated assessment generation, and multilingual support for English, Yoruba, Hausa, and Igbo. Using LangChain for agent orchestration, OpenAI GPT models for natural language processing, and FAISS for vector retrieval, the system enables students to interact with educational content through natural language queries while maintaining cultural relevance through Nigerian-contextualized examples and conventions (Chukwuma et.al, 2024). The multi-agent architecture comprises five specialized components: a main orchestrator, explanation agent, quiz generation agent, web search agent, and RAG agent for processing uploaded educational materials. Preliminary evaluation demonstrates the system{'}s capability to provide curriculum-aligned explanations, generate practice assessments, and answer questions from uploaded textbooks and study materials. This work contributes a culturally-aware educational AI framework addressing linguistic diversity and curriculum alignment challenges in African educational contexts, while leveraging open-source tools for reproducibility and accessibility (Shoukat et.al, 2025)."
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<abstract>Equitable access to quality education remains a critical challenge in Nigeria, where millions of students prepare annually for standardized examinations (WAEC, NECO, JAMB) with limited access to personalized tutoring (Badei et.al, 2024). This research presents EduNaija AI Tutor, a multi-agent Retrieval-Augmented Generation (RAG) system designed to democratize educational support through AI-powered tutoring aligned with Nigerian curricula. The system integrates conversational AI with document-based question answering, automated assessment generation, and multilingual support for English, Yoruba, Hausa, and Igbo. Using LangChain for agent orchestration, OpenAI GPT models for natural language processing, and FAISS for vector retrieval, the system enables students to interact with educational content through natural language queries while maintaining cultural relevance through Nigerian-contextualized examples and conventions (Chukwuma et.al, 2024). The multi-agent architecture comprises five specialized components: a main orchestrator, explanation agent, quiz generation agent, web search agent, and RAG agent for processing uploaded educational materials. Preliminary evaluation demonstrates the system’s capability to provide curriculum-aligned explanations, generate practice assessments, and answer questions from uploaded textbooks and study materials. This work contributes a culturally-aware educational AI framework addressing linguistic diversity and curriculum alignment challenges in African educational contexts, while leveraging open-source tools for reproducibility and accessibility (Shoukat et.al, 2025).</abstract>
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%0 Conference Proceedings
%T EduNaija AI Tutor: A Multi-Agent Retrieval-Augmented Generation System for Nigerian Curriculum Education
%A Odeajo, Israel Olanrewaju
%A Jimmy, Edifon Emmanuel
%Y Chimoto, Everlyn Asiko
%Y Lignos, Constantine
%Y Muhammad, Shamsuddeen
%Y Abdulmumin, Idris
%Y Siro, Clemencia
%Y Adelani, David Ifeoluwa
%S Proceedings of the 7th Workshop on African Natural Language Processing (AfricaNLP 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-364-7
%F odeajo-jimmy-2026-edunaija
%X Equitable access to quality education remains a critical challenge in Nigeria, where millions of students prepare annually for standardized examinations (WAEC, NECO, JAMB) with limited access to personalized tutoring (Badei et.al, 2024). This research presents EduNaija AI Tutor, a multi-agent Retrieval-Augmented Generation (RAG) system designed to democratize educational support through AI-powered tutoring aligned with Nigerian curricula. The system integrates conversational AI with document-based question answering, automated assessment generation, and multilingual support for English, Yoruba, Hausa, and Igbo. Using LangChain for agent orchestration, OpenAI GPT models for natural language processing, and FAISS for vector retrieval, the system enables students to interact with educational content through natural language queries while maintaining cultural relevance through Nigerian-contextualized examples and conventions (Chukwuma et.al, 2024). The multi-agent architecture comprises five specialized components: a main orchestrator, explanation agent, quiz generation agent, web search agent, and RAG agent for processing uploaded educational materials. Preliminary evaluation demonstrates the system’s capability to provide curriculum-aligned explanations, generate practice assessments, and answer questions from uploaded textbooks and study materials. This work contributes a culturally-aware educational AI framework addressing linguistic diversity and curriculum alignment challenges in African educational contexts, while leveraging open-source tools for reproducibility and accessibility (Shoukat et.al, 2025).
%U https://aclanthology.org/2026.africanlp-main.11/
%P 113-115
Markdown (Informal)
[EduNaija AI Tutor: A Multi-Agent Retrieval-Augmented Generation System for Nigerian Curriculum Education](https://aclanthology.org/2026.africanlp-main.11/) (Odeajo & Jimmy, AfricaNLP 2026)
ACL