MathCityMap vs ETQ

The app is available in many different languages! MathCityMap is based on the math trail idea introduced in Melbourne, Australia in 1984 (that time on paper only). Since that time lots of mathematicians and math educators have picked up this fascinating idea. Just like us. Additionally we set a new approach to this project using mobile technology. The MathCityMap App for smartphones is developed for students who would like to walk a math trail during school lessons or even for interested users who want to explore their surroundings with a mathematical point of view. The app leads the user via GPS to the mathematical tasks of a chosen math trail and gives automaticaly feedback on the answers of the user. In addition the app also provides hints in case someone is lost on a certain problem. The MathCityMap web portal is for teachers and creative minds who want to create tasks and trails. Good tasks will be made public and can be used by everyone to combine them with their own tasks for a personal math trail. Furthermore the public tasks can inspire users for their own tasks. All created math trails can be solved by walking with a smartphone or can be printed out from an automatically generated PDF file. The web portal also provides tutorials how to get started, publications in the field of math trails and general informations about doing mathematics outdoors.

Enhancing teaching quality with artificial intelligence: a feedback system leveraging AI to provide teachers with real-time feedback on their teaching practices. Real-time, formative feedback on teaching practices: We aim to develop an AI-based copilot application called Teaching Copilot that teachers can use on their smartphones to self-assess the quality of their teaching. Teachers can record classroom audio using their smartphones, and the system analyzes this data (audio and transcripts) to predict teaching quality aspects such as instructional organization, cognitive stimulation, or encouragement and warmth. Teaching Copilot will be a self-assessment tool empowering teachers to self-reflect. The system adheres to GDPR and EU AI Act regulations and privacy-preserving machine learning (ML) to ensure secure, ethical data handling. This innovation will enhance teaching effectiveness, enrich student learning experiences, and promote a culture of professional growth.