Work

EduNaija AI Tutor: A Multi-Agent Retrieval-Augmented Generation System for Nigerian Curriculum Education

Year: 2026

Type: conference-paper

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.This research presents EduNaija AI Tutor, a multi-agent Retrieval-Augmented Generation (RAG) system designed to democratize educational support 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 and FAISS for vector retrieval, the system enables students to interact with educational content through natural language queries while maintaining cultural relevance.Preliminary evaluation demonstrates the system's capability to provide curriculum-aligned explanations and generate practice assessments.

Source: Workshop on African Natural Language Processing (AfricaNLP)

DOI: 10.18653/v1/2026.africanlp-main.11

Authors: Israel Olanrewaju Odeajo, Edifon Emmanuel Jimmy

Institution: University of Benin

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W7140079376