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...
In today's digital learning landscape, engaging learners is more challenging than ever. Traditional eLearning courses often fail to capture and sustain learner attention. This is where design thinking comes in—a human-centered approach to problem-solving that can revolutionize how eLearning experiences are crafted. What is Design Thinking? Design thinking is a methodology used to understand learners' needs, challenge assumptions, and create innovative solutions. It consists of five key stages: Empathize – Understand the learners’ challenges and experiences. Define – Clearly articulate the problem that needs to be solved. Ideate – Brainstorm creative solutions and innovative learning strategies. Prototype – Develop a rough version of the eLearning experience. Test – Gather feedback and refine the learning solution accordingly. Applying Design Thinking to eLearning 1. Empathize: Understanding Learners' Needs Start by identifying the target audience. Conduct surveys, int...