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Correspondence-based analogies for choosing problem representations
Mathematics and computing students learn new concepts and fortify their expertise by solving problems. The representation of a problem, …
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng
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Dissecting representations
Choosing effective representations for a problem and for the person solving it has benefits, including the ability or inability to …
Daniel Raggi, Aaron Stockdill, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng
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Cross-domain Correspondences for Explainable Recommendations
Humans use analogies to link seemingly unrelated domains. A mathematician might discover an analogy that allows them to use …
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng
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Inspection and Selection of Representations
We present a novel framework for inspecting representations and encoding their formal properties. This enables us to assess and compare …
Daniel Raggi, Aaron Stockdill, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng
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Elucidating the Cognitive Anatomy of Representation Systems
Humans use analogies to link seemingly unrelated domains. A mathematician might discover an analogy that allows them to use …
Peter C.-H. Cheng, Grecia Garcia Garcia, Holly E. A. Sutherland, Daniel Raggi, Aaron Stockdill, Mateja Jamnik
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