4 papers · 1 filter
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…