Contemporary education faces three interconnected structural challenges: the persistence of passive learning models, the pedagogical risks introduced by unstructured AI adoption, and the economic inefficiency of many existing learning systems. Digital infrastructures — particularly Learning Management Systems — have historically prioritized content distribution over the design of meaningful learning experiences, reinforcing passive consumption rather than active engagement. The rapid and unguided integration of AI tools has further exacerbated this dynamic, optimizing for task completion at the expense of deep understanding and cognitive effort. These pedagogical shortcomings carry an economic dimension as well: when learning systems fail to generate meaningful interaction and feedback, investments in educational resources and infrastructure yield limited impact.

SceneSnap is an AI-native, multi-agent learning platform designed to address these challenges by transforming static educational materials into structured, personalized, adaptive, and measurable learning experiences. The platform combines an intuitive interface with pedagogically grounded interaction models, continuous progress feedback, and streamlined onboarding flows. It can operate as a standalone environment or integrate with existing LMS and institutional infrastructures. Core capabilities include a multi-agent architecture — encompassing tutor, path generator, explainer, evaluator, and learner-profile builder agents — an educator insight layer with real-time dashboards, and AI governance tools that preserve educator control over content distribution and use.

Early evidence from a master's-level course at a university in northern Italy suggests positive outcomes across several dimensions, including improved perceived retention from video materials, enhanced study approaches, and more constructive attitudes toward generative AI, with the majority of participants reporting successful integration of the platform into their learning strategies.

The session offers participants a hands-on demonstration, allowing direct interaction with the platform through material upload, learning session completion, and exploration of the educator dashboard.