Nicole Steib

Dr. Nicole Steib is a Researcher at the University of Regensburg's Faculty of Mathematics, affiliated with the Chair of Mathematics Education under Prof. Dr. Stefan Krauss. She holds a PhD in Mathematics and Physics and has been a research assistant since 2020. Her work focuses on Bayesian reasoning, probability education, and didactic methodologies. She teaches courses such as Didactics of Mathematics I, Didactics of Arithmetic, and Examination Seminars for Primary School Teachers.

Her research emphasizes improving probabilistic literacy through visual tools like frequency networks and double-trees. She has published extensively in journals like Learning and Instruction and Journal für Mathematik-Didaktik, addressing covariational reasoning and training methods for Bayesian reasoning in medical and legal contexts. She collaborates on projects such as the DFG-funded TrainBayes, exploring educational interventions for probabilistic understanding.

• Education: Master’s in Mathematics and Physics (University of Regensburg, 2019), 1st State Examination for Secondary School Teaching (2019), Abitur (2014).
• Key Contributions: Developed visual aids for probability teaching, studied cognitive load in Bayesian problem-solving, and presented at conferences like DAGStat and ICOTS11.
• Labs/Teams: Active in the Chair of Mathematics Education, collaborating with Prof. Krauss and colleagues on national research initiatives.