Victoria Batz forscht im Bereich interaktive Bildungstechnologien und entwickelte bei SPiRIT von September 2018 bis Dezember 2021 im Drittelmittelprojekt „IKKE – Inklusive Küche 4.0“ inklusive Lernkonzepte für die berufliche Aus- und Weiterbildung. Digitale Assistenzsysteme ermöglichen einen individuellen und selbstbestimmten Zugang zu Lerninhalten und praktischen Anwendungen, um systematisch mit- und voneinander zu lernen.
Seit November 2021 beforscht sie als Interaction Designerin in dem Bi-nationalen Drittmittelprojekt „CleanBREATHE – Blended Research on Air pollution using Technical and Educational solutions“ Konzepte zur Vermittlung von Luftqualitätsdaten und Ansätze zur Erhöhung der Aufmerksamkeit auf die Problematik Luftverschmutzung mit einem Citizen Science Ansatz.
Außerdem lehrt Victoria im Bachelorstudiengang Industrial Design wechselnde Module wie Mediendiskurs, Hauptprojekte oder Business Start – Ausstellungsgestaltung & Organisation.
IKKE: https://inklusive-kueche.h2.de/
CleanBREATHE: https://cleanbreathe.eu/
Low-cost air-quality sensors can support environmental education and citizen science, but DIY kits often fail in practice because non-experts struggle with assembly and setup. We evaluated the usability of the open-source Pulse.Eco Combo Cube v3 particulate-matter sensor kit as an educational toolkit. Following a Design Science Research approach, we triangulated (1) co-creative workshops in Germany... Despite the health risks associated with air pollution and the availability of data, public awareness of air quality remains limited. This paper examines communication strategies to enhance awareness in Germany and North Macedonia. Using the Design-Based Implementation Research approach, literature reviews, stakeholder interviews and surveys were conducted with 307 participants to identify knowledge gaps and... This work investigates the global market for air quality sensors and data representation.We analyzed a comprehensive sample of players in the air quality sensor market and included a representative set of 21 very different organizations in this study. The encompasses entities, from major players like Breezometer to smaller companies focusing on hyperlocal air quality data,... In today’s urban environments, accurately measuring and forecasting air pollution is crucial for combating the effects of pollution. Machine learning (ML) is now a go-to method for making detailed predictions about air pollution levels in cities. In this study, we dive into how air pollution in urban settings is measured and predicted. Using the PRISMA... Vocational education and training in Germany are distinguished by the separation of training groups of different learning levels. In chef training, theoretical teaching content is mainly conveyed using lectures and textbooks. The abstract presentations and texts are not suitable for inclusive education. By pursuing a design science research process, a digital-analog learning application was developed...
Usability Assessment of Low-Cost Sensor Kits for Educational Air Quality Sensing
Enhancing Public Awareness of Air Quality: Evaluating Communication Strategies and Design Prototypes Using a Design-Based Implementation Research Approach
The Business of Air Quality: Global Markets and Local Stakeholders
Methods for urban air pollution measurement and forecasting: challenges, opportunities, and solutions
A Tangible Learning Application from the 3D Printer for the Practical Teaching of Meat Cutting in Inclusive Vocational Education