Regular biography
Tanja Käser is a Tenure Track Assistant Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. Her research and teaching focus on digital education, machine learning for behavioral data, and the intersection of technology and learning processes. She teaches courses such as Digital Education, Machine Learning for Behavioral Data, and Topics in Machine Learning for Education. Käser is also involved in doctoral programs and serves on various committees, including the Human Research Ethics Committee. Her work explores how educational technologies influence learning and adaptation.
Scholar-generated biography
Tanja Käser is a Tenure Track Assistant Professor specializing in Educational Data Mining, AI for Education, and Learning Analytics. Her research focuses on leveraging artificial intelligence and data-driven methods to enhance educational outcomes, with an emphasis on student modeling, explainable machine learning, and the integration of generative AI in learning environments. She explores how trust and feedback mechanisms influence the adoption of AI technologies in education and investigates the role of large language models in predicting and supporting student success. Her work also addresses the design and evaluation of computer-based training programs and the measurement of science and engineering practices through log data analysis.