7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.HC2021
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Christa Cody, Mehak Maniktala, Nicholas Lytle +2
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance,…
cs.LG2020★ 7 cited
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Farzaneh Khoshnevisan, Min Chi
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developin…
cs.AI2020
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor
Mehak Maniktala, Christa Cody, Tiffany Barnes +1
Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hi…