معرفی
Sarah Lundt is a Researcher at the Department of Didactics of Mathematics, part of the Faculty of Mathematics, Computer Science and Statistics at Ludwig-Maximilians-Universität München. Her work focuses on mathematical proof understanding, cognitive resources in proof skills, and instructional quality in mathematics education. She collaborates extensively with Prof. Dr. Stefan Ufer and Dr. Milena Damrau.
Her recent research examines secondary students' comprehension of proof functions and general validity in mathematical contexts, with presentations at international conferences like the 48th Annual PME Conference (2025) and the 7th EARLI JURE Conference (2024). She contributes to projects like SFB-TR 419 SHARP, which explores simulation-based learning in higher education.
Key themes in her publications include mathematical reasoning, validation processes, and cross-institutional teacher training. She actively participates in workshops, summer schools, and teacher training programs, emphasizing digital tools and Bayesian reasoning in mathematics instruction.
Her collaborations span institutions such as IPN Kiel, Georgia Southern University, and New York University. She is also involved in the MathLearnLab and CREATE Center initiatives, focusing on adaptive learning environments and diagnostic competencies.
Sarah Lundt در سایتهای دیگر
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- MMilena DamrauLudwig Maximilian University of Munich · پژوهشگر
- SStefan UferLudwig Maximilian University of Munich · استاد
- VVeronika KruseLudwig Maximilian University of Munich · پژوهشگر
- LLuzia HoferLudwig Maximilian University of Munich · پژوهشگر
- TTimo KosiolLudwig Maximilian University of Munich · پژوهشگر
- AAlexander RachelLudwig Maximilian University of Munich · پژوهشگر