Conveners
Digital technologies: 176,048,051,185
- Chairman: Michael Fox
Description
DIG: Digital technologies in physics education
The current data-driven era is rapidly transforming the world around us, including physics education research (PER) and education. Modern statistical, data science, and artificial intelligence (AI) methodologies enhance data processing, analysis, and visualization, enabling optimal data-driven decision-making. As PER increasingly adopts advanced methods and tools, there is still a lack of full...
Our increasingly data-driven societies put pressure on the students’ skillsets while schools struggle to fit the demands of global digitalisation into their curricula. Promoting data-based literacy skills in the students’ upbringing requires their committed long-term application in meaningful contexts, in which open data from “the real world” of scientific experiments and governmental...
In this presentation we describe how we incorporated data analysis with Python in the first year laboratory course at the University of Potsdam. This transformation was implemented without considerably altering the course structure. We carefully designed Jupyter Notebooks with exercises and applied physics examples. We use these Notebooks to guide students through the fundamentals of data...
Lab reports form an important part of learning experimental physics in undergraduate courses. Advances in natural language processing give us new tools that allow for the large-scale qualitative analysis of lab reports to understand how students demonstrate their skills and knowledge. Hence, we compare natural language processing techniques to understand whether it is possible to reliably...
