Getting Insights into User Behavior in Educational Games
An important aspect of teaching someone a new skill is to understand the learner and its motivations and knowledge. Over the past years computer systems, especially educational games and intelligent tutoring systems have become much better at adapting the user experience to match the level of the learner. Intelligent Systems automatically adjust difficulty levels or find optimal learning paths for users to have a smooth learning experience. Furthermore, by collecting a lot of data about the individual interactions of users with the computer systems, it has been possible to identify properties of users that are not directly observable, such as the motivation of the player or potential learning disabilities. This deeper understanding of the learner allows to further adapt the systems to the individual needs. Similar techniques have been applied to games such as Minecraft to better understand how players are collaborating in this virtual environments.