September 15, 2020
In this presentation, Dr. Stefan Küchemann shows how mobile eye tracking extends the range of possible eye tracking applications in physics education research and demonstrate underlying visual strategies during the generation process of visual representations and during experimentation. In the latter use case, he will explore how a machine-learning-based object-detection algorithm can be used for an efficient analysis of mobile eye tracking data.
Senior Researcher in Physics Education, TU Kaiserslautern, Germany
Dr. Stefan Küchemann is a senior researcher in Physics Education at the TU Kaiserslautern, Germany. After earning his PhD in Condensed Matter Physics in 2014 from the University of Göttingen, Germany, he worked as a research scholar for two years at the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign, USA. In 2017 he changed to physics education research at the TU Kaiserslautern, Germany, where his main focuses are problem solving and learning processes in physics using Eye Tracking and Artificial Intelligence.
Dr. Stefan Küchemann demonstrates two scenarios which aim to reveal the visual attention distribution and interactions of students in real-world learning environment in physics with a high ecological validity.Learn more
Prof. Dr. Jochen Kuhn explains how modern education technology facilitates teaching and learning STEM subjects, and how eye tracking enables studying its effects.Learn more
Dr. Jessica VandenPlas explores how eye tracking research is helping to provide a better understanding of how students learn chemistry concepts and improve methods of education.Learn more