Creating a library of assets is necessary when designing learning experiences, but having assets is not the same as being able to use them to accomplish goals. Attendees will learn how to use metadata and taxonomies to organize content, enable leveraging, and measure outcomes that identify paths to learner success.
Thoughtful metadata and taxonomy design is required for everything from content leveraging to adaptive learning. To deliver learners the experience that they need, you need to describe in a systematic way what those needs are and how they relate to the learning assets you have created or plan to create. Metadata and taxonomies can provide the structure that enables both innovative learning approaches and the measurement techniques that prove that they are effective. Too often, though, learning initiatives fail because organizations track the wrong things and/or cannot use the information they have.
In this session, learners will explore the potential applications of a well-designed taxonomy and then derive the design principles that form the foundation of effective metadata strategy. They will learn how taxonomies can promote production efficiency through content leveraging, enhance the learner experience by providing smart searching functionality, and enable adaptive learning and expert systems. Examples will be provided that illustrate these best practices, but learners will also develop an outline for a taxonomy strategy through an interactive live exercise.
Through this experience, learners will discover the key decisions involved in taxonomy design and see how better and worse decisions impact the learner experience. An interactive Q&A segment will provide further guidance to ensure that attendees will be one step closer to realizing the potential of taxonomies in their organizations.