Topic: FederleichtLernen - learning support in augmented reality with the aid of an intelligent sensor pen Subproject: Motivated learning from mistakes
The basis of the planned project is the learning environment in augmented reality, which uses a sensor pen to record data about the learning situation (e.g. pen movement, physical and physiological parameters). Based on the collected data, AI-supported hints for further learning of the students will be provided. The goal is to create an augmentation that does not distract from the actual learning task, but makes targeted suggestions for improvement when the AI recognizes that the students have problems solving the task, e.g. cannot solve it or can only solve it incorrectly. This ensures that the students can solve the tasks at their own pace, receive individualized feedback and, if necessary, are given tasks by the AI that correspond to the performance level of the students and specifically practice the problem areas that still exist. It is of particular importance that the students are not only told what they CANNOT do, but that they are also given feedback on what they can already do. Positive feedback is elementary for intrinsic motivation (see Weidinger, Spinath & Steinmayr). The feedback of the already existing competences should strengthen the intrinsic motivation of the students and avoid possible negative effects of the error feedback on the intrinsic motivation. Linked to the problem feedback, the students are presented with exercises that aim at solving their problems in an individualized way. In this way, the students learn that they can improve their problem areas through their own efforts and with a little effort. Both lead to an increase in achievement motivation (see Bergold & Steinmayr, 2016). Thus, motivational as well as didactic aspects are part of the focus in developing the functionality of the sensor pen.
Contact persons: Prof. Dr. Ricarda Steinmayr