1 citations · 1 across the 4 of their papers we have counts for
4 papers
A4L: An Architecture for AI-Augmented Learning
Ashok Goel, Ploy Thajchayapong, Vrinda Nandan +2
AI promises personalized learning and scalable education. As AI agents increasingly permeate education in support of teaching and learning, there is a critical and urgent need for…
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent
Jeonghyun Lee, Vrinda Nandan, Harshvardhan Sikka +2
How do we design an AI system that is intended to act as a communication bridge between two user communities with different mental models and vocabularies? Skillsync is an interact…
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…
Explanation as Question Answering based on Design Knowledge
Ashok Goel, Vrinda Nandan, Eric Gregori +2
Explanation of an AI agent requires knowledge of its design and operation. An open question is how to identify, access and use this design knowledge for generating explanations. Ma…