Knowledge Maps for Content Discovery

Content discoverability and composition is a moving target in education, especially matching content complexity and media diversity to the needs of different students. In this talk I will describe our methods of performing large scale categorization of online courses using a crowd-sourced taxonomy. Our methodology is agnostic to the media of content, whether it is text, images, or video and uses Wikipedia as a taxonomy for semi-labeled categorization of content. I will also demo a visualization of Versals’ Knowledge Map, a "Google-Maps" for content exploration.