9 citations · 10 across the 10 of their papers we have counts for
4 papers · 1 filter
Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation
Sungeun An, Spencer Rugaber, Jennifer Hammock +1
We present an interactive modeling tool, VERA, that scaffolds the acquisition of domain knowledge involved in conceptual modeling and agent-based simulations. We describe the knowl…
Cognitive Assistance for Inquiry-Based Modeling
Sungeun An, Robert Bates, Spencer Rugaber +3
Inquiry-based modeling is essential to scientific practice. However, modeling is difficult for novice scientists in part due to limited domain-specific knowledge and quantitative s…
Explanation as Question Answering based on a Task Model of the Agent's Design
Ashok Goel, Harshvardhan Sikka, Vrinda Nandan +3
We describe a stance towards the generation of explanations in AI agents that is both human-centered and design-based. We collect questions about the working of an AI agent through…
Understanding Self-Directed Learning in an Online Laboratory
Sungeun An, Spencer Rugaber, Jennifer Hammock +1
We described a study on the use of an online laboratory for self-directed learning by constructing and simulating conceptual models of ecological systems. In this study, we could o…