Sarah Schönbrodt

Sarah Schönbrodt

Assistant professor @ University of Salzburg, Austria

Paris Lodron University of Salzburg

Biography

I am an assistant professor (tenure track) in mathematics education at the University of Salzburg. My research interests lie in the field of mathematical modeling education and education in the areas of Data Science and AI.

As part of the student program CAMMP, I develop innovative materials and concepts for mathematics education. Additionally, I am part of the leadership team of the non-profit initiative KI macht Schule, which brings education on AI and machine learning to German-speaking schools!

Interests
  • Mathematics Education
  • AI and Data Science Education
  • STEM Education
Education
  • PhD in Mathematics Education, 2022

    Karlsruhe Institute of Technology

  • M.Ed. teacher training studies (Mathematics and Chemistry), 2018

    RWTH Aachen University

  • B.Sc. teacher training studies (Mathematics and Chemistry), 2015

    RWTH Aachen University

Experience

 
 
 
 
 
University of Salzburg
Assistant Professor (Tenure Track)
November 2023 – Present Salzburg, Austria
 
 
 
 
 
Karlsruhe Institute of Technology
PostDoc and group leader
February 2022 – October 2023 Karlsruhe, Germany

Responsibilities included:

  • Workshops on mathematical modeling for high-school students
  • Research in the area of mathematics and AI education
  • Leading a team of 3 PhD students and 1 teacher
 
 
 
 
 
Karlsruhe Institute of Technology
Research assistant and doctoral student
May 2019 – February 2022 Karlsruhe, Germany
 
 
 
 
 
Exchange semester
August 2016 – January 2017 Mexico City, Mexico
 
 
 
 
 
Research assistant
May 2018 – April 2019 Aachen, Germany
 
 
 
 
 
Teacher
February 2017 – September 2017 Aachen, Germany
 
 
 
 
 
Internship at Colegio Humboldt
September 2014 – October 2014 San José, Costa Rica
 
 
 
 
 
Internship at the 4. Aachener Gesamtschule
April 2014 – July 2014 Aachen, Germany
 
 
 
 
 
Internship at the German School Montevideo
March 2014 – April 2014 Montevideo, Uruguay

Awards and Scholarships

  • Idea contest within the framework of the Civic Innovation Platform of the Federal Ministry of Labour and Social Affairs, Award for the idea "AI Teaching Platform" in cooperation with KI macht Schule and KIT, 2023
  • Springer BestMasters, Award for an outstanding master's thesis, 2018
  • Brigitte Gilles Prize of RWTH Aachen University, Prize for promoting female students in the STEM field within the CAMMP student laboratory, 2018
  • Schöneborn Prize of RWTH Aachen University, Prize for the best completion in Bachelor of Education in Chemistry, 2016
  • Dean’s List of RWTH Aachen University, Award for outstanding academic achievements (top 5% of each year's cohort), 2013–2018
  • Westfälischer Arbeitgeberverband Scholarship, Support for gifted students in STEM subjects, 2013–2017
  • Foundation of German Business Scholarship, Support for gifted students based on exceptional academic performance and extracurricular engagement, 2012–2018
  • High-school awards from DMV and GDCh for outstanding achievements in Mathematics and Chemistry, 2012

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). Wie viel Mathe steckt in mathematischer Modellierung? – Eine Antwort am Beispiel der Optimierung. Der Mathematikunterricht. Friedrich-Verlag, 70(1), 35-44.

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(2023). AI education as a starting point for interdisciplinary STEM projects. In: Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13).

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(2023). From school mathematics to artificial neural networks: Developing a mathematical model to predict life expectancy. In: Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13).

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(2023). Klassifizierungsprobleme: Maschinelles Lernen und KI im Mathematikunterricht. In: Beiträge zum Mathematikunterricht 2022, WTM Verlag.

PDF Cite DOI

(2022). Mathematische Grundlagen der Künstlichen Intelligenz im Schulunterricht - Chancen für eine Bereicherung des Unterrichts in linearer Algebra. Mathematische Semesterberichte. Springer. 69. 73–101.

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Teaching

Courses and supervised students

University Teaching

Summer Semesters 2024

  • Lecture Introduction to didactics for mathematics I, Universität Salzburg
  • Lecture Introduction to didactics for mathematics II, Universität Salzburg
  • Master's thesis (M.Ed.) Seminar for Mathematics, University Salzburg

Winter Semester 2023/24

  • Master's thesis (M.Ed.) Seminar for Mathematics, University Salzburg
  • Didactics seminar, University Salzburg

Summer Semester 2023

  • Seminar Fundamentals of Artificial Intelligence and its Application in all School Subjects, KIT
  • Seminar Data Analysis and Big Data, Hochschule Biberach

Winter Semester 2022/23

  • Seminar Fundamentals of Artificial Intelligence and its Application in all School Subjects, University of Konstanz
  • Seminar Digital-Based Learning Contexts in Mathematics Education, KIT

Winter Semester 2021/22

  • Seminar Fundamentals of Artificial Intelligence and its Application in all School Subjects, University of Konstanz

Winter Semester 2020/21

  • Seminar Individual Subject Didactics Project, KIT

Summer Semester 2020

  • Seminar Individual Subject Didactics Project, KIT

Winter Semester 2019/20

  • Seminar Individual Subject Didactics Project, KIT

2014-2019:

  • Summer Semesters 2018 and 2019: Excursion Week on Mathematical Modeling (CAMMP week Pro), Seminar for B.Sc./M.Sc. Mathematics, Simulation Science, and CES Students, RWTH Aachen
  • Winter Semester 2014/15: Tutor for Higher Mathematics I, RWTH Aachen

Supervised Theses

  • Diehle, S. (2023). Optimization of Wind Turbines as a Topic for Interdisciplinary Computer-Aided Modeling Projects, Bachelor's Thesis, KIT.
  • Maier, R. (2023). Recommender Systems and Artificial Intelligence – Development and Evaluation of an Interdisciplinary Learning Module on the Topic of AI in the Media Industry, Master's Thesis.
  • Hoeffer, K. (2022). Activity Recognition on Smartphones – Development of Teaching Material for Computer-Aided Mathematical Modeling Projects, Master's Thesis, KIT.
  • Rantzau, L. (2021). Recommendation Systems Based on Neighborhood Methods – Mathematical-Subject Discussion and Development of Digital Learning Material for the Netflix Challenge for Secondary Level II Students, Bachelor's Thesis, KIT.
  • Hoeffer, K. (2020). Development of Teaching Material on Solar Energy within an Interdisciplinary Mathematical Modeling Project, Bachelor's Thesis, KIT.
  • Schmidt, L. (2019). Machine Learning - Automatic Image Recognition with Mathematics?! A Teaching-Learning Module in the Context of a Mathematical Modeling Day for Upper Secondary Students, Master's Thesis, RWTH Aachen.

Outreach

Teacher Trainings and School Projects

Teacher Training and Professional Development

2023

  • Exploring Modern Applications of Mathematics through Computer-Aided Materials, Workshop at the Teachers Day of the ISTRON Conference, Vienna, September 2023
  • Opening the Blackbox - A commonly understandable insight into the fundamentals of AI for all subjects, invited presentation as part of the teacher training series "Opportunities & Risks of the Digital Transformation" by ZSL and ZLB, Karlsruhe, June 2023
  • Mathematical Modeling and Data Science, (multi-day) Training for participating teachers at CAMMP week, Belgium, June 2023
  • Exploring modern applications computer-aided, Workshop at the Digital Mathematical Tools Conference, Karlsruhe, March 2023

2022

  • Fundamentals of AI and Its Application in All Subjects, Justus Liebig University Giessen, invited workshop (6 hours) for (prospective) teachers, online, November 2022
  • Digital learning materials for AI and Data Science in mathematics education, Workshop at the Teachers Day of the ISTRON Conference, Karlsruhe, November 2022
  • Opportunities for Machine Learning in Mathematics Education, Teacher Training by invitation from the Department of Education and Sports of the City of Munich, Munich, September 2022

2018 – 2021

  • Invited Workshop for prospective teachers in the seminar on "Applied Mathematics Education", TU Darmstadt, online, June 2021
  • Materials for Computer-Aided Solar Energy Research with high-school students, Teacher Training as part of the STEM Congress, online, November 2020
  • Workshop for Teacher Education Students in the Seminar on "Digital Tools for Mathematics Education", KIT, online, July 2020
  • Invited Workshop for prospective teachers in the Seminar on "Application and Modeling", RWTH Aachen, online, June 2020
  • Invited Workshop for prospective teachers in the Seminar on "Application and Modeling", RWTH Aachen, Aachen, November 2019
  • Solar Energy research with high-school students in the context of a computer-aided project day, presentation at the Teachers Day of the ISTRON Conference, Berlin, September 2019
  • Opportunities for Machine Learning in Mathematics Education, Presentation at the Teachers Day of the ISTRON Conference, Würzburg, October 2018

School Projects

  • 09–12/2022: Design and implementation of the project course Girls Do STEM - solving real problems with math and AI, Karlsruhe
  • Summer Semester 2021: Design and Implementation of the Introductory Course Mathematics for high-school students
  • at KIT
  • 10/2019: Design and implementation of mathematical modeling days at the Autonomous University of Baja California, Tijuana, Mexico
  • Since 2019: Organization and supervision of various mathematical modeling weeks for high-school students (CAMMP week)
  • Since 2015: Organization, design, and supervision of numerous mathematical modeling days for high-school students (CAMMP day, RWTH Aachen und KIT)
  • 2017: Substitute teacher at Einhard Gymnasium Aachen