Project

GeAR

Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

  • Duration:

In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of sports events such as football or ski jumping. Augmented reality (AR) can also change learning at school. However, the opportunities offered by these innovative technologies for learning have so far been little explored.

The joint project of Saarland University, Kaiserslautern University of Technology and the German Research Center for Artificial Intelligence is dedicated to the diverse applications of the new technologies in schools and investigates to what extent learning with elements of augmented reality makes specific demands on learners or simplifies learning and improves success. The project investigates, among other things, the usability and usability of future-oriented and currently available AR media in school-related contexts and with the involvement of pupils of different age groups. Furthermore, the behaviour of learners in dealing with AR and the success factors for the use of AR in schools will be investigated.

The innovative research project provides insights into learning with AR. The right didactic teaching concepts should provide the basis for the further development of the use of future AR media in school-based teaching and learning processes for pupils and teachers. Furthermore, the findings also offer AR media in other application areas that will be of high relevance in the future, such as in the medical technology field or for the cooperation of spatially separated teams to use or develop.

Sponsors

Bundesministerium für Bildung und Forschung

01JD1811C

Bundesministerium für Bildung und Forschung

Publications about the project

Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag

In: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2020) July 12-18 Genoa Italy ACM 7/2020.

To the publication
Michael Barz, Sven Stauden, Daniel Sonntag

In: Andreas Bulling, Anke Huckauf, Eakta Jain, Ralph Radach, Daniel Weiskopf (editor). ACM Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA-2020) June 2-5 Stuttgart Germany Association for Computing Machinery New York, NY, USA 5/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz