no code implementations • 10 Jan 2024 • Karan Taneja, Ashok Goel
We propose that active label correction can be used to improve the data quality by only examining a fraction of the dataset.
no code implementations • 11 Dec 2023 • John Kos, Kenneth Eaton, Sareen Zhang, Rahul Dass, Stephen Buckley, Sungeun An, Ashok Goel
Conceptual and simulation models can function as useful pedagogical tools, however it is important to categorize different outcomes when evaluating them in order to more meaningfully interpret results.
no code implementations • 10 Jun 2022 • Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where a human and a machine interact with the goal of training a machine learning model (ML) for a specified task.
no code implementations • 8 Jun 2022 • Ashok Goel, Harshvardhan Sikka, Vrinda Nandan, Jeonghyun Lee, Matt Lisle, Spencer Rugaber
We describe a stance towards the generation of explanations in AI agents that is both human-centered and design-based.
no code implementations • 4 Jun 2022 • Wangcheng Xu, Snejana Shegheva, Ashok Goel
Our symmetry-based model achieves an accuracy comparable to the human average on the 2-AFC test and appears to capture an essential part of intuitive geometry.
no code implementations • 21 Apr 2022 • Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where humans train a machine learning model by playing the role of a teacher.
no code implementations • 22 Dec 2021 • Ashok Goel, Harshvardhan Sikka, Eric Gregori
We describe Agent Smith, an interactive machine teaching agent that reduces the time taken to train a Jill for a new online class by an order of magnitude.
no code implementations • 16 Dec 2021 • Ashok Goel, Vrinda Nandan, Eric Gregori, Sungeun An, Spencer Rugaber
In this paper, we describe a question answering agent (AskJill) that uses the User Guide for an interactive learning environment (VERA) to automatically answer questions and thereby explains the domain, functioning, and operation of VERA.
no code implementations • 2 Jun 2020 • Ashok Goel
We have developed an AI-powered socio-technical system for making online learning in higher education more accessible, affordable and achievable.
no code implementations • 16 Apr 2020 • Snejana Sheghava, Ashok Goel
The exploration of geometrical patterns stimulates imagination and encourages abstract reasoning which is a distinctive feature of human intelligence.