Interests and fields of work: Since 2019, I have been supervising the annual project course on data science and big data in upper secondary education, which I help to develop, implement and evaluate. I also develop teaching modules for various secondary school levels (grades 5/6 and 9/10), as well as teacher training courses, mainly on machine learning with decision trees and statistical data analysis. We use unplugged activities, the interactive software CODAP, and Jupyter notebooks with Python. My main research interest is to develop a theoretical concept for teaching machine learning methods in schools with a focus on decision trees and to evaluate it in practice by using concrete teaching materials.
More information at: https://fddm.uni-paderborn.de/personen/details/42660
