30 citations · 52 across the 6 of their papers we have counts for
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physics.ed-ph2020★ 30 cited
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…
physics.ed-ph2020
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…