24 citations · 43 across the 9 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2023★ 7 cited
Getting too personal(ized): The importance of feature choice in online adaptive algorithms
ZhaoBin Li, Luna Yee, Nathaniel Sauerberg +3
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact…
cs.AI2013★ 24 cited
Evaluating computational models of explanation using human judgments
Michael Pacer, Joseph Williams, Xi Chen +2
We evaluate four computational models of explanation in Bayesian networks by comparing model predictions to human judgments. In two experiments, we present human participants with…