As a PhD student of the CAMMP at KIT, I am part of the Computational Science and Mathematical Methods (CSMM) group at KIT and part of the Simulierte Welten project. My research interests are in the field of mathematics education, data literacy, and data cleaning. As part of my doctoral thesis, I develop teaching-learning arrangements on mathematical aspects of data cleaning, and investigate the structure of students' argumentation within the teaching-learning arrangements.
Publikationen
Eckert, J., Schönbrodt, S. & Frank, M. (in press). Fostering data literacy by engaging in data cleaning. Proceedings of the Satellite Conference of the International Association for Statistical Education (IASE), September/October 2025, Münster, Germany.
Hofmann, S., Bata, K., Schönbrodt, S., Kindler, S., Frank, M., Müller, C., Eckert, J., Hörter, J., Büsing, C., & Stamm, B. (under review). Mathematical Modelling in Action: Design Principles for Mathematical Modeling Days. Proceeding of the 95th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 04/2025, Poznan, Polen.
Eckert, J., Schönbrodt, S., Frank, M. (2025). Data Cleaning In Mathematics Education: Teaching Statistical Methods Of Outlier Detection. In: Proceedings of the 1st Symposium on Integrating AI and Data Science into School Education Across Disciplines.
Eckert, J., Schönbrodt, S. & Frank, M. (2024). Mathematische Grundlagen des Data Cleanings. In: Beiträge zum Mathematikunterricht 2024, WTM-Verlag. http://dx.doi.org/10.17877/DE290R-25151