6 citations · 7 across the 6 of their papers we have counts for
6 papers
A method to assess trustworthiness of machine coding at scale
Rebeckah K. Fussell, Emily M. Stump, N. G. Holmes
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data,…
New perspectives on student reasoning about measurement uncertainty: More or better data
Andy Schang, Matthew Dew, Emily M. Stump +2
Uncertainty is an important and fundamental concept in physics education. Students are often first exposed to uncertainty in introductory labs, expand their knowledge across lab co…
Comparing introductory and beyond-introductory students' reasoning about uncertainty
Emily M. Stump, Mark Hughes, Gina Passante +1
Uncertainty is an important concept in physics laboratory instruction. However, little work has examined how students reason about uncertainty beyond the introductory (intro) level…
Context affects student thinking about sources of uncertainty in classical and quantum mechanics
Emily M. Stump, Matthew Dew, Gina Passante +1
Measurement uncertainty is an important topic in the undergraduate laboratory curriculum. Previous research on student thinking about experimental measurement uncertainty has focus…
Student reasoning about sources of experimental measurement uncertainty in quantum versus classical mechanics
Emily M. Stump, Courtney L. White, Gina Passante +1
Measurement uncertainty and experimental error are important concepts taught in undergraduate physics laboratories. Although student ideas about error and uncertainty in introducto…
Student evaluation of more or better experimental data in classical and quantum mechanics
Courtney L. While, Emily M. Stump, N. G. Holmes +1
Prior research has shown that physics students often think about experimental procedures and data analysis very differently from experts. One key framework for analyzing student th…