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Materials
Poster1: AAPT WM17 "Flight Physics Concept Inventory: Current Challenges and Design for the FliP-CoIn"
Poster2: AAPT WM18 "electronic Flight Physics Concept Inventory: eFliP-CoIn²"
Poster3: AAPT SM19 "Flight Physics Concept Inventory A Multi-Cultural Concept Inventory for Flight Physics"
Poster4: PERC 2021 "Naïve concepts of aerodynamic lift – data lessons from different (learning) cultures"
Poster5: AAPT SM22 "(Naïve) Aerodynamic Concepts in class & in-game: The Flight Physics Concept Inventory"
This video shows what happens at a critical angle of attack.
What generates more aerodynamic lift or drag at a certain speed? What wing has the best properties for which circumstances?
Was passiert beim kritischen Anstellwinkel (AoA)?
Welches Profil mehr Auftrieb oder Widerstand bei einer bestimmten Geschwindigkeit? Welcher Flügel hat die besten Eigenschaften unter bestimmten Umständen?
This will be a humbling talk. We take you on our journey of fails in digital and analogue data collection, encoding and scoring as well as procedures and ideas of fixing them. We answer questions like: “How can I reach sufficient encoding redundancy?”, “How to estimate the coding error probability?”, “What are the pitfalls in (digital) data scoring?”, “What metadata might become useful for my analysis?” Or as Springuel, Wittmann & Thompson (2019, p.2) would say: “[D]ata encoding is often neglected or taken for granted, even though this step forms an important bridge between the data collection and analysis.”