Research focus
In our XR Lab, we conduct research into innovative approaches to learning physics in augmented reality (AR) and virtual reality (VR). Our field of activity covers the entire range of planning, development and validation of learning materials. Planning and development is carried out taking into account the latest findings on multimedia learning. In addition to traditional methods, process data such as eye movements are also used to test learning effectiveness. Further information on AR and VR can be found in the relevant sections below.
Short description
AR
In augmented reality (AR), real learning environments can be enriched with virtual information. This technology can be used in physics lessons to make otherwise invisible physical quantities, processes and models visible. This could make it easier to link observed phenomena and underlying theoretical concepts. We are concerned with the question of which aspects need to be taken into account when developing such learning applications in order to create a helpful and useful tool to supplement physics teaching at university and in physics lessons at school.
VR
By wearing special glasses, learners can immerse themselves in a purely virtual world. This so-called virtual reality (VR) enables experiments to be carried out in an idealized environment. Invisible and abstract concepts can be visualized and presented clearly for learners. It is also possible to hide disturbing influencing factors so that learners can concentrate specifically on central aspects of the learning environment. In our working group, we develop VR applications for physics learning based on theoretical aspects of multimedia learning and teaching-learning research. These are then tested in school lessons and university teaching.
Goals/target groups
- Research at the interface of high-tech physics and teaching-learning research.
- Development of new approaches to physics learning in extended reality.
- Theory-based development of XR learning applications for physics lessons.
- Investigation of learning effectiveness using classical and innovative methods.
Contents
- Use of multiple external representations for physics learning in extended reality.
- Investigation of the possibilities of individual support for learners using process data such as eye movement data, heart rate and forehead temperature.