7–11 Apr 2025
Lecture and Conference Centre
Europe/Warsaw timezone

Mathematical Modelling in Action: CAMMP’s Educational Activities

11 Apr 2025, 09:50
20m
Room 0.21

Room 0.21

Speaker

Katharina Bata

Description

Mathematical modelling plays a role not only in mathematics itself but especially in application fields such as physics, computer science, and engineering. CAMMP (Computational And Mathematical Modelling Program, www.cammp.online) is a project which has aim to show secondary students and teachers the relevance of mathematical modelling for their daily life. Therefore, the project conducts different events in which students and teachers actively engage in solving real, relevant problems through mathematical modelling and the use of computers. The problems originate from everyday life, industry, or research. CAMMP's educational research projects are concerned with the development and research of teaching and learning materials that enable such active engagement. In particular, the materials aim to make (often complex) mathematical concepts required for modelling real-world problems accessible to learners and to provide them with an authentic insight into the relevance of mathematics for our society.
The contribution at the 95th Annual Meeting of the GAMM will present the range of CAMMP activities, for example, mathematical modeling weeks and days, as well as the design principles (Prediger et al., 2012) that guide the design of the activities. This includes, among other things, the selection of problems, corresponding data sets, and technological tools. In addition, we will illustrate selected materials, for example on the prediction of life expectancy based on artificial neural networks (Kindler et al., 2023) or predictive text systems based on n-gram models (Hofmann & Frank, 2022).

Literature:
Hofmann, S. & Frank, M. (2022): Teaching data science in school: Digital learning material on predictive text systems. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy.
Kindler, S., Schönbrodt, S., & Frank, M. (2023). From school mathematics to artificial neural networks: Developing a mathematical model to predict life expectancy. In P.
Drijvers, H. Palmér, C. Csapodi, K. Gosztonyi, & E. Kónya (Eds.), Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). Alfréd Rényi Institute of Mathematics and ERME.
Prediger, S., Link, M., Hinz, R., Hußmann, S., & Ralle, B. (2012). Lehr-Lernprozesse initiieren und erforschen: Fachdidaktische Entwicklungsforschung im Dortmunder Modell [Initiating teaching-learning processes and research: Subject didactic development research in the Dortmund model]. MNU, 65(8), 452–457.

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