Greifswald 2024 – scientific programme
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DD: Fachverband Didaktik der Physik
DD 24: Quantenphysik III
DD 24.2: Talk
Tuesday, February 27, 2024, 16:50–17:10, ELP 1: SR 2.28
Graphical representations in quantum physics: exploring the effects of learning from qubit visualizations and developing a new classification system for visual representations — •Linda Qerimi1,2,3, Stefan Küchemann1, Sarah Malone4, Silke Stähler-Schöpf2, Sascha Mehlhase2,3, Tatjana Wilk5, and Jochen Kuhn1 — 1LMU, Munich — 2MPQ, Garching near Munich — 3MQV, Munich — 4Saarland University, Saarbrücken — 5MCQST, Munich
In quantum physics, it is particularly important to choose representations that are transferable to mathematics in order to provide learners with material for sustainable teaching of quantum physics. Therefore, in a first study with 45 participants in two groups, we investigated learning gains using two different qubit representations. The results showed significant learning gains in both groups. It remains unclear which mechanisms are responsible for the increase in learning. Thus we developed a new categorization system based on representation research and quantum physical imagination research. Using Ainsworth's (2006) Design Functions and Tasks framework as a basis, we extended it to include other relevant aspects of quantum physics representations. The categorization system is evaluated by quantum physics experts on the basis of four qubit representations. They will be asked to rate each qubit representation using the category system. Our goal is to categorize representations according to their resulting profiles into clusters that allow decisions for the selection and design of representations for appropriate and effective learning of quantum physics content.
Keywords: qubit; representations; category system; quantum physics; quantum technologies