Personalizing learning content to both the learner and thecontext is the best way to achieve optimallearning and performance outcomes.
L&D professionals have historically achievedpersonalization by making copies upon copies of learning assets and coursematerials, tweaking each copy to meet the differentiated needs of learners.This approach is labor-intensive and prone to inconsistencies and inaccuracies,including the risk of delivering incorrect or outdated information to learners. In contrast, reusablecontent can be updated in one place, ensuring consistency and accuracy—andimproving content maintenance efficiency. All without sacrificingpersonalization and differentiated instruction.
This hands-on micro master class walks you throughcreating a reusable content model. Our model entails analyzing instructionalcontent and logically chunking it into semantically meaningful components suchthat the smallest logical components are individually addressable withmetadata—enabling a high level of personalization and relevance to theindividual learner.
We’ll also share examples of multi-channel publishing thatreuse learning content in multiple contexts—without creating duplicate content.We will explore key concepts and best practices in reusable content, guide youin applying these concepts to creating a learning content model, anddiscuss the technical considerations and architecture necessary to leveragereusable learning content across contexts.
