30 citations · 52 across the 6 of their papers we have counts for
7 papers
Using Machine Learning to Identify the Most At-Risk Students in Physics Classes
Jie Yang, Seth DeVore, Dona Hewagallage +3
Machine learning algorithms have recently been used to predict students' performance in an introductory physics class. The prediction model classified students as those likely to r…
Teacher Noticing and Shifting of Student Epistemic Framing
Christopher A. F. Hass, Qing X. Ryan, Eleanor C Sayre
Through a case study, we demonstrate that teachers can tacitly notice student epistemic framing, and that this noticing can prompt instructor action which tips student framing. Our…
Conceptual Assessment Tool for Advanced Undergraduate Electrodynamics
Charles Baily, Qing X. Ryan, Cecilia Astolfi +1
As part of ongoing investigations into student learning in advanced undergraduate courses, we have developed a conceptual assessment tool for upper-division electrodynamics (E&M II…
Student Difficulties with Boundary Conditions in Electrodynamics
Qing X. Ryan, Bethany R. Wilcox, Steven J. Pollock
Identifying and understanding student difficulties with physics content in a wide variety of topical areas is an active research area within the PER community. In many cases, physi…
Student difficulties with Boundary Conditions in electrodynamics
Qing X. Ryan, Steven J. Pollock, Bethany R. Wilcox
Boundary conditions (BCs) are considered as an important topic that advanced physics under- graduates are expected to understand and apply. We report findings from an investigation…
Development and Uses of Upper-division Conceptual Assessment
Bethany R. Wilcox, Marcos D. Caballero, Charles Baily +4
The use of validated conceptual assessments alongside more standard course exams has become standard practice for the introductory courses in many physics departments. These assess…