Source Themes

Mathematical Modeling in Action: Design Principles for Mathematical Modeling Days
Mathematical modeling is fundamental for numerous scientific and technical disciplines. CAMMP has taken on the challenge of providing …
Stephanie Hofmann, Katharina Bata, Sarah Schönbrodt, Stephan Kindler, Martin Frank, Clara Müller, Jakim Eckert, Jasmin Hörter, Christina Büsing, Benjamin Stamm
PDF DOI
A design research project on fairness in data-driven algorithmic decision-making
Data-driven algorithmic decision-making systems, including many AI technologies, are ubiquitous in today’s society. Early engagement …
Sarah Schönbrodt, Steffen Schneider
PDF DOI
Fostering data literacy by engaging in data cleaning
The increasing societal relevance of data-driven technologies highlights the importance of fostering data literacy in education. One …
Jakim Eckert, Sarah Schönbrodt, Martin Frank
PDF DOI
A learning activity on fairness in data-driven algorithmic decision-making systems
This paper presents a learning activity designed to develop and analyze various approaches to fairness in data-driven algorithms with …
Sarah Schönbrodt, Steffen Schneider, Susanne Podworny, Thomas Camminady
PDF DOI
Teaching data-driven machine learning in mathematics education
Technologies based on data-driven machine learning (ML) methods have taken on a central role in our economy, technology and everyday …
Sarah Schönbrodt, Martin Frank
PDF
The Computational and Mathematical Modeling Program (CAMMP) – Lessons Learned on Interdisciplinary Challenge-Based Learning
Mathematical modelling is a key engineering competence. However, many textbook problems fall short of the complexity and ambiguity of …
Felix Engelhardt, Sophia Wrede, Sarah Schönbrodt, Christina Büsing, Benjamin Stamm
PDF DOI
Analysing Artificial Neural Networks in High School Mathematics Education
The rapid development of artificial intelligence (AI) and its integration into everyday life presents new challenges within the …
Stephan Kindler, Sarah Schönbrodt, Martin Frank
PDF
Data Cleaning In Mathematics Education: Teaching Statistical Methods Of Outlier Detection
We live in a world increasingly shaped by data and algorithms. Everyday decisions are influenced by data science processes without one …
Jakim Eckert, Sarah Schönbrodt, Martin Frank
PDF
Education with and About AI: Implementation of a Participatory Teaching Platform
Due to the significance that AI applications already have for our society, AI education is considered an important part of contemporary …
Sarah Schönbrodt, Steffen Schneider, Nicolas Berberich, KI macht Schule Team
PDF
Shaping the Future of Education: AI and Data Science Literacy as a Civic Imperative in Education
The accelerating integration of artificial intelligence (AI) and data science into societal infrastructures is transforming how …
Sarah Schönbrodt, Susanne Podworny
PDF