To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…

In introductory physics laboratory instruction, students often expect to confirm or demonstrate textbook physics concepts. This expectation is largely undesirable: labs that emphasize confirmation of textbook physics concepts are generally unsuccessful at teaching those concepts and even in contexts that do not emphasize confirmation, such…

Research reproducibility is essential for scientific development. Yet, rates of reproducibility are low. As increasingly more research relies on computers and software, efforts for improving reproducibility rates have focused on making research products digitally available, such as publishing analysis workflows as computer code, and raw and…

Understanding how physicists solve problems can guide the development of methods that help students learn and improve at solving complex problems. Leveraging the framework of cognitive task analysis, we conducted semistructured interviews with theoretical physicists (N=11) to gain insight into the cognitive processes and skills that they use in…

Undergraduate research experiences (UREs) significantly enhance the outcomes of students who participate. Unfortunately, students may face barriers to engaging in UREs, which creates challenges for students' development of essential research skills that may not be covered thoroughly in laboratory classes. Overall, there is a need for a curriculum…