23 minutes
English
Free
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
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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. |
