Publikation: SmaEPho - Smart Photometry in Education 4.0

Das Lehrgebiet BioVT veröffentlicht zusammen mit der Division of Microelectronic Systems Design der RPTU und der LMU die Publikation "SmaEPho - Smart Photometry in Education 4.0" in der Zeitschrift Education Sciences.

Digitization offers new perspectives for educational research to identify the effects of visualizations regarding cognitive processing. In addition, new types of data can be generated that expand the possibilities for visualizing cognitive processes and understanding human learning. Digital twins are already used in Industry 4.0, as an additional visualization to a real object, for data mining and data analysis for process optimization. The increasing integration of digital twins in the industrial sector requires the formulation of corresponding educational goals in order to ensure high-quality and future-oriented education. Therefore, future generations must already be introduced to technologies from industry during their education. In this paper, an intelligent photometric measurement system called SmaEPho with a digital twin for science, technology, engineering, and mathematics (STEM) learning is presented. In addition to its function as a photometric measurement device, an intelligent sensor technology, allows data generation on the user’s usage behavior. The digital twin reflects and visualizes this data in real-time. This enables a variety of new didactic and methodological approaches in teaching. A first study evaluating the hardware and tracking components of SmaEPho shows that the deviation accuracy of the measurement system is sufficient for experimental applications in schools. Another study with n = 52 students confirmed the excellent usability of the SmaEPho hardware platform. These research results lay the foundation for a variety of future research questions on data analysis and machine learning algorithms with the aim of increasing the quality of education. The use of intelligent digital twins, as an element of digitization in educational contexts, offers the extended possibility of identifying cognitive processing steps using this technology.

L. Geuer, F. Lauer, J. Kuhn, N. Wehn, R. Ulber; SmaEPho - Smart Photometry in Education 4.0, Education Sciences (2023) im Druck