6 citations · 6 across the 4 of their papers we have counts for
4 papers
Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency
Daniel Weitekamp, Christopher MacLellan, Erik Harpstead +1
Human learning relies on specialization -- distinct cognitive mechanisms working together to enable rapid learning. In contrast, most modern neural networks rely on a single mechan…
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
Daniel Weitekamp, Erik Harpstead, Kenneth Koedinger
AI2T is an interactively teachable AI for authoring intelligent tutoring systems (ITSs). Authors tutor AI2T by providing a few step-by-step solutions and then grading AI2T's own pr…
TRESTLE: A Model of Concept Formation in Structured Domains
Christopher J. MacLellan, Erik Harpstead, Vincent Aleven +1
The literature on concept formation has demonstrated that humans are capable of learning concepts incrementally, with a variety of attribute types, and in both supervised and unsup…
Decomposed Inductive Procedure Learning
Daniel Weitekamp, Christopher MacLellan, Erik Harpstead +1
Recent advances in machine learning have made it possible to train artificially intelligent agents that perform with super-human accuracy on a great diversity of complex tasks. How…