AI-DRIVEN ADAPTIVE LEARNING MANAGEMENT SYSTEM USING DATA ANALYTICS FOR PERSONALIZED EDUCATION

Afolabi Idris Yinka; John Otozi Ugah; Gift Adene; Ifesinachi Veronica Aniji

AI-DRIVEN ADAPTIVE LEARNING MANAGEMENT SYSTEM USING DATA ANALYTICS FOR PERSONALIZED EDUCATION

Afolabi Idris Yinka, John Otozi Ugah, Gift Adene, Ifesinachi Veronica Aniji

Abstract

The rapid evolution of artificial intelligence (AI) and data analytics has transformed educational paradigms, shifting from traditional one-size-fits-all models to personalized learning systems. This study develops an AI-driven adaptive learning management system (LMS) that leverages data analytics and natural language processing (NLP) to deliver tailored educational experiences in tertiary institutions. The system integrates a BERT-based NLP model to analyze student performance, identify knowledge gaps, and recommend supplementary resources via web scraping. Utilizing a modular architecture, the system processes real-time data on student interactions, engagement, and performance to dynamically adjust learning pathways. The system achieved a 93% accuracy in content personalization, with an average response time of 1.2 seconds and robust scalability under high user loads. This research addresses limitations in traditional learning models by offering real-time adaptability, comprehensive data integration, and user-centered design, enhancing engagement and academic outcomes. Challenges such as data privacy and system integration are discussed, with recommendations for future enhancements to ensure scalability and equity.

Keywords

Adaptive Learning; Artificial Intelligence; Data Analytics; Natural Language Processing; Personalized Education; BERT

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