Biomentor - Personalized E-Learning Platform for A/L Biology Subject English Medium Students in Sri Lanka.

Abstract

The growing dependence on technology in education has facilitated the creation of customized e-learning solutions that address individual learning requirements. This study introduces BioMentor, a customized e-learning platform designed for Advanced Level (A/L) Biology students in Sri Lanka. The platform incorporates sophisticated artificial intelligence (AI) methodologies, such as Retrieval-Augmented Generation (RAG), transformer-based summarization, adaptive quiz creation, automated answer assessment, and spaced repetition algorithms. The technology improves subject understanding, engagement, and retention via personalized learning pathways, hence enhancing overall academic achievement. Experimental findings demonstrate that BioMentor successfully addresses deficiencies in traditional education by adaptively modifying curriculum according to student performance and improving knowledge retention. The results underscore the capability of AI-driven educational platforms to transform domain-specific learning and provide scalable solutions for individualized education.