Evaluating the automatic and manual creation process of adaptive lessons

Using adaptive, personalized courses is rewarding, as it can create a better learning experience, tailored for a specific learner´s needs. The process of creating these courses, however, is cumbersome and time consuming. Authors can be helped by employing automatization methods that relieve the authoring burden. We previously proposed a method which uses information from an author´s Desktop to suggest extensions to existing courses. In this paper we report an experimental evaluation of the method, focusing on usability aspects.