Prof. Sven Hilbert is scientific director of the Center for University and Science Didactics. From 2005-2010 he graduated in psychology from the Ludwig Maximilians University in Munich wwith a diploma. This was followed by the doctorate. From 2011 to 2014, Mr. Hilbert worked as a research assistant at Humboldt-Innovation GmbH, Berlin, Karl-Franzens University, Graz, and at the chair of psychological methodology and diagnostics at Ludwig Maximilians University, Munich.
The substitute professorship at the chair for psychological methodology at the Humboldt University in Berlin was followed by a master’s degree in statistics and a habilitation at the LMU Munich. After the substitute professorship for methods of empirical educational research at the University of Regensburg, he was offered a W2 professorship for life and since 2017 Sven Hilbert has been W2 professor for methods of empirical educational research at the University of Regensburg.
Sven Hilbert teaches, among other things, in the field of advanced statistics, basic statistics and machine learning. His research is based on questionnaire items, structural equation models, mixed models, working memory, cognitive strategies and mathematical learning.
Scientific director of the Center for University and Science Didactics
Methods of empirical educational research.
Statistics.
I do research and with Machine Learning (ML) I give a lecture in Machine Learning.
I’m giving a lecture on machine learning. I have to be careful not to overwhelm the students.
He becomes familiar with basic algorithms and programming from ML.
Because it is part of research, (partly professional) future and already everyday.
Algorithms for the classification of texts and learning processes.
Yes, algorithms for classifying texts and learning processes.
i studied statistics at the LMU and am in close contact with the Computational Statistics group.
Both.
The approaches.
Yes, research classification of texts and learning processes. I deliver the algorithms, the contetn interpretation is the focus of the project partners.
By evaluating digital behavioral data, data quality will reach a completely new level and bring much greater knowledge to research.
Positive, but so far I am not contributing.
The evaluation of the data should be mentioned as a focus.
Mr. Hilbert, thank you for taking the time to answer these questions. We wish you a nice day!