System for an AI-supported augmented reality digital twin teacher for interactive distance learning

Abstract

A system for an AI-powered augmented reality digital twin teacher for interactive distance learning, wherein the system comprises: a learning interaction device structure consisting of a display unit, a depth sensor unit, an inertial positioning unit, an image capture unit, an audio capture unit, and a communication processor; a digital twin processor for generating instructor data, configured to generate a virtual instructor representation from image datasets, speech datasets, facepoint datasets, and body motion datasets of the instructor;an augmented reality rendering engine that is communicatively connected to the structure of the learning interaction device and configured to spatially align the instructor's virtual representation within a physical learning environment, using environment mapping information generated by the depth sensor unit and the inertial positioning unit; a dialogue-based AI processing engine configured to receive learner input via speech, gesture, and text interaction pathways and generate adaptive learning responses based on curriculum datasets and indicators of learning comprehension; an educational content management system configured to retrieve course materials, exam preparation datasets, assignment records, scheduling information, and lesson records from institutional educational repositories;a learning analytics processor configured to measure learning engagement using eye-tracking information, facial interaction measurements, reaction time measurements, and gesture activity measurements; a speech synthesis controller configured to generate synthetic instructor speech in accordance with generated instructions; an environment mapping sensor array configured to acquire spatial mapping data from the physical learning environment using depth measurement, inertial tracking, and simultaneous localization and mapping; a gesture recognition interface configured to recognize learner gesture commands and translate them into instructional control inputs; an avatar speech synchronization controller configured to synchronize synthesized speech with lip movements, facial animations, and avatar expression sequences;an institutional interface configured for the exchange of course content, learning datasets, exam datasets, and scheduling information with institutional educational infrastructures; a learning session orchestration engine configured to coordinate the capture of learning inputs, retrieval of institutional content, generation of dialog responses, augmented reality rendering, speech synthesis, speech synchronization, learning analytics, and distributed session synchronization during an interactive learning session; and a synchronization processor configured to maintain real-time instructional continuity between distributed learner interaction devices and institutional educational infrastructures, with the dialog-based AI processing engine dynamically adjusting instructional delivery based on learner engagement measurements generated by the learning analytics processor.