Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

System generates counter examples that vary in single dimensionsThe system learns pattern rules 2 User labels generated counterexamples

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Published
2025-04-25
DOI
https://doi.org/10.1145/3706598.3713708
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Toby Jia-Jun Li, Simret Araya Gebreegziabher, Elena L. Glassman, Yukun Yang
Intelligent Tutoring Systems and Adaptive Learning
article

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Toby Jia-Jun Li, Simret Araya Gebreegziabher, Elena L. Glassman, Yukun Yang
article en

Abstract

System generates counter examples that vary in single dimensionsThe system learns pattern rules 2 User labels generated counterexamples

University of Notre Dame (US), Harvard University (US)
National Science Foundation, Alfred P. Sloan Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Quality Education
Openalex Percentile: Top 96%
Intelligent Tutoring Systems and Adaptive Learning
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