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20142020
most citedUsing Machine Learning to Identify the Most At-Risk Students in Physics Classes

30 citations · 52 across the 6 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

physics.ed-ph2017

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…

physics.ed-ph2017

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…