22 citations · 47 across the 9 of their papers we have counts for
10 papers
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
Ying Zhang, Ningxi Cheng, Yizhu Gao +5
Q-matrices are a cornerstone of theory-driven assessment and learning analytics, making item demands and students' underlying knowledge components and misconceptions explicit and a…
Using blogs to make peer-reviewed research more accessible
Nicholas T. Young, Briley L. Lewis, Emily Kerr +1
Discipline-based education researchers produce knowledge that aims to help instructors improve student learning and educational outcomes. Yet, the information produced may not even…
Rubric-based holistic review represents a change from traditional graduate admissions approaches in physics
Nicholas T. Young, N. Verboncoeur, Dao Chi Lam +1
Rubric-based admissions are claimed to help make the graduate admissions process more equitable, possibly helping to address the historical and ongoing inequities in the U.S. physi…
Rubric-based holistic review: a promising route to equitable graduate admissions in physics
Nicholas T. Young, K. Tollefson, Remco G. T. Zegers +1
As systematic inequities in higher education and society have been brought to the forefront, graduate programs are interested in increasing the diversity of their applicants and en…
Predictive and explanatory models might miss informative features in educational data
Nicholas T. Young, Marcos D. Caballero
We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has exami…
Investigating institutional influence on graduate program admissions by modelling physics GRE cut-off scores
Nils J. Mikkelsen, Nicholas T. Young, Marcos D. Caballero
Despite limiting access to applicants from underrepresented racial and ethnic groups, the practice of using hard or soft GRE cut-off scores in physics graduate program admissions i…
The Physics GRE does not help applicants "stand out"
Nicholas T. Young, Marcos D. Caballero
One argument for keeping the physics GRE is that it can help applicants who might otherwise be missed in the admissions process stand out. In this work, we evaluate whether this cl…
Using machine learning to understand physics graduate school admissions
Nicholas T Young, Marcos D. Caballero
Among all of the first-year graduate students enrolled in doctoral-granting physics departments, the percentage of female and racial minority students has remained unchanged for th…
Identifying features predictive of faculty integrating computation into physics courses
Nicholas T. Young, Grant Allen, John M. Aiken +2
Computation is a central aspect of 21st century physics practice; it is used to model complicated systems, to simulate impossible experiments, and to analyze mountains of data. Phy…
A controlled study of stereoscopic virtual reality in freshman electrostatics
Joseph R. Smith, Amber Byrum, Timothy M. McCormick +3
Virtual reality (VR) has long promised to revolutionize education, but with little follow-through. Part of the reason for this is the prohibitive cost of immersive VR headsets or c…