Our platform builds detailed cognitive profiles for every learner, capturing not only cognitive and meta-cognitive traits but also neurodiversity, gender, and socio-economic influences. Using quiz data, engagement patterns, and interaction metrics, we create unique learner models that guide personalized content delivery, tailored recommendations, and adaptive learning paths — boosting motivation, retention, and comprehension.

Each learner begins with a 75-question cognitive survey integrated into our LMS. We analyze responses using a two-step method: Exploratory Factor Analysis (EFA) to uncover the key cognitive dimensions, and Latent Profile Analysis (LPA) to identify distinct learner profiles based on these dimensions. This approach, grounded in Gaussian mixture modeling and optimized via Bayesian Information Criterion (BIC), enables a precise, data-driven understanding of how individuals learn — forming the backbone of our hyper-personalized learning experience.