Neurolearn — AI-Powered Adaptive Smart Classroom

Abstract

NeuroLearn is an AI-driven adaptive smart classroom platform designed to personalize learning in real time by combining multimodal student interaction data, cognitive learner modeling, and curriculum-aware recommendation engines. The system continuously analyzes student performance and engagement to adapt instructional content, pacing, and difficulty for each learner. This report presents an overview of NeuroLearn’s concept, system design, experimental evaluation, and key outcomes. The pilot results demonstrate improved student engagement, higher learning gains, and better short-term retention compared to traditional non-adaptive classroom instruction, while also emphasizing the importance of privacy, ethics, and teacher involvement.