3 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ML2024★ 3 cited
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation
Conrad Borchers, Ryan S. Baker
Algorithmic bias continues to be a key concern of learning analytics. We study the statistical properties of the Absolute Between-ROC Area (ABROCA) metric. This fairness measure qu…
cs.LG2024
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
Ryan S. Baker, Nigel Bosch, Stephen Hutt +2
Recently, ACM FAccT published an article by Kwegyir-Aggrey and colleagues (2023), critiquing the use of AUC ROC in predictive analytics in several domains. In this article, we offe…
cs.PL2024★ 2 cited
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades
Valdemar Švábenský, Maciej Pankiewicz, Jiayi Zhang +3
Programming courses can be challenging for first year university students, especially for those without prior coding experience. Students initially struggle with code syntax, but a…