I am a PhD student in the Machine Learning Group led by Prof. Dr. Ulf Brefeld at the Leuphana University of Lüneburg. I have a Master's degree in Data Science and a Bachelor's degree in Industrial Engineering and am currently involved in the ALEE project, which explores adaptive (human) learning and the potential of providing individualized learning paths and contextualized feedback in economics education. My research focuses on developing machine learning algorithms that can be applied in a data-sparse online learning setting. We evaluate these algorithms in real-world settings with students in German schools to assess their effectiveness and potential impact on student learning outcomes.

• Y. Rudolph*, K. Neubauer*, U. Brefeld. Self-Improvement for Computerized Adaptive Testing. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.
• K. Neubauer and U. Brefeld. Simultaneously Learning Competencies and Item Difficulties. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), 2020.