Prototypes of an annotated scientific text visualizer were designed, developed, and deployed. This pedagogic tool is designed to help undergraduates draft short research articles that conform to the generic expectations of their discourse community. This online tool enables users to discover and explore the language features present in short research articles. Users can select to visualize research articles in the field of computer science. The articles are categorized into four types. Users select to hide or reveal particular language features and their associated explanations in text, audio, or video formats. This enables them to create their own learning paths with this interactive tool. Students can use the visualizer to individualize their own learning interactively at their own pace on materials that are relevant to them. [For the complete proceedings, see ED600837.]