Edge computing is often associated with autonomous vehicles, IoT devices, and industrial automation. But its applications are beginning to reshape digital learning environments as well. For eLearning professionals, especially those dealing with large-scale data and latency-sensitive applications like AR/VR , edge computing offers a compelling shift in how content is delivered, tracked, and personalized. In this article, we explore what edge computing is, how it differs from cloud computing, and what it means for eLearning speed, data accuracy, and learner experience. What Is Edge Computing? Edge computing is a distributed computing paradigm that brings data processing closer to the source of data generation—such as a learner's device or a local network node—instead of relying solely on centralized cloud servers. In eLearning contexts, this could mean processing a learner’s quiz results, xAPI statements, or AR/VR interactions locally before syncing with a Learning Management Sy...