by Alexander Nussbaumer ¹

• ¹ Graz University of Technology

This asset enables personalisation to an individual player by specifying and providing interventions (in form of messages or feedback during gaming) that aim at supporting learning – e.g. by prompting reflection on the task goals or by conveying facts. A concrete intervention is triggered based on rules using log data of the players activities. The rules are defined in the authoring tool of the asset. In principle, wanted and unwanted behavior can be modeled and related interventions if such modeled behavior occurs.