AR/VR Learning Module with Outcome Mapping

An AR/VR Learning Module with Outcome Mapping is disclosed. The Module integrates: a hardware-agnostic AR/VR content delivery engine supporting standalone VR headsets, mixed reality headsets, and mobile AR platforms with 6-DOF interaction capture at 90 Hz; a standards-aligned five-level learning outcome ontology comprising curriculum standards, learning units, learning outcomes, observable indicators, and competency evidence weight matrices aligned to Bloom's Taxonomy revised levels; a real-time interaction-to-outcome tagging engine generating xAPI ADL-conformant learning record statements for every interaction event; a Bayesian evidence accumulation model providing continuous within-session outcome achievement probability tracking; an AI inference engine implementing HMM/LSTM procedural competency assessment, graph neural network spatial reasoning inference, and transformer-based problem-solving strategy classification; an adaptive content sequencing module performing outcome gap analysis and difficulty scaffolding; a multi-modal biometric engagement module processing eye tracking, head kinematics, voice activity, and wearable physiological data; a multi-stakeholder reporting platform with learner outcome maps, educator class metrics, curriculum designer analytics, and accreditation evidence portfolio generation for NAAC/QAA/WASC; an Open Badges 3.0 and W3C Verifiable Credential micro-credential issuance system with blockchain-anchored registry; a curriculum designer A/B testing framework; and LTI 1.3 and IMS CASE API interoperability. The Module constitutes the first AR/VR learning platform providing continuous, standards-aligned, AI-driven outcome mapping with multi-stakeholder evidence reporting and portable verifiable credentialing.