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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
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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
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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
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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
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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
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TIMSS 2023: Zusammenfassung und Diskussion der Ergebnisse
Christina Wallner-Paschon, Lisa Wiesinger, Sarah Schönbrodt, Lana Ivanjek
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Projektkurs für Mädels: Mit Mathe und KI reale Probleme lösen
In diesem Beitrag stellen wir das Konzept eines außerunterrichtlichen Lernangebots für junge Frauen zum Thema Künstliche Intelligenz …
Stephanie Hofmann, Sarah Schönbrodt
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AI education as a starting point for interdisciplinary STEM projects
Artificial intelligence (AI) is a key technology nowadays and of enormous relevance for our society. A central characteristic of …
Sarah Schönbrodt, Katja Hoeffer, Martin Frank
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From school mathematics to artificial neural networks: Developing a mathematical model to predict life expectancy
In this paper, we show that it is possible to develop artificial neural networks building on school mathematical knowledge – initially …
Stephan Kindler, Sarah Schönbrodt, Martin Frank
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Mathematische Grundlagen der Künstlichen Intelligenz im Schulunterricht - Chancen für eine Bereicherung des Unterrichts in linearer Algebra
Sarah Schönbrodt, Thomas Camminady, Martin Frank
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