186 citations
- California Institute of TechnologyUS27 papers
- Pennsylvania State UniversityUS27 papers
- Center for Astrophysics Harvard & SmithsonianUS18 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TriesteIT15 papers
- University of California San DiegoUS15 papers
- University of TriesteIT14 papers
- University of WashingtonUS12 papers
- Pomona CollegeUS11 papers
- Jet Propulsion LaboratoryUS10 papers
- University of ExeterGB10 papers
- University of WyomingUS10 papers
- University of California, IrvineUS9 papers
Showing 2020 · physics.ed-phShow all
3 papers · 2 filters
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
Characterizing and monitoring student discomfort in upper-division quantum mechanics
Giaco Corsiglia, Tyler Garcia, Benjamin P. Schermerhorn +3
We investigate student comfort with the material in an upper-division spins-first quantum mechanics course. Pre-lecture surveys probing students' comfort were administered weekly,…
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…