Dr. Christian Thurn studied psychology at the University of Konstanz/Germany and the Università degli Studi di Padova/Italy and obtained a Master of Science in 2017. In his dissertation project at ETH Zurich from 2017 to 2021, he investigated the interplay of prior knowledge, learning opportunities, and intelligence in conceptual physics learning.
His research aims at a better understanding of the mental processes of conceptual learning. Central questions in his work concern the role of prior knowledge, intelligence, and their interaction, as well as the statistical modeling of conceptual learning. To address these questions he utilizes classroom studies, concept tests, reaction-time experiments, and concept mapping. These methods allow the investigation of conceptual learning from different perspectives, such as network analytic modeling.
In addition, he is interested in (mis-)conceptions of frequentist statistics, gender issues in STEM subjects, and statistical state-of-the-art methods.
Dr. Christian Thurn studied psychology at the University of Konstanz/Germany and the Università degli Studi di Padova/Italy and obtained a Master of Science in 2017. In his dissertation project at ETH Zurich from 2017 to 2021, he investigated the interplay of prior knowledge, learning opportunities, and intelligence in conceptual physics learning.
His research aims at a better understanding of the mental processes of conceptual learning. Central questions in his work concern the role of prior knowledge, intelligence, and their interaction, as well as the statistical modeling of conceptual learning. To address these questions he utilizes classroom studies, concept tests, reaction-time experiments, and concept mapping. These methods allow the investigation of conceptual learning from different perspectives, such as network analytic modeling.
In addition, he is interested in (mis-)conceptions of frequentist statistics, gender issues in STEM subjects, and statistical state-of-the-art methods.