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Correspondence-based analogies for choosing problem representations

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Garcia, GG 
Sutherland, HEA 

Abstract

Mathematics and computing students learn new concepts and fortify their expertise by solving problems. The representation of a problem, be it through algebra, diagrams, or code, is key to understanding and solving it. Multiple-representation interactive environments are a promising approach, but the task of choosing an appropriate representation is largely placed on the user. We propose a new method to recommend representations based on correspondences: conceptual links between domains. Correspondences can be used to analyse, identify, and construct analogies even when the analogical target is unknown. This paper explains how correspondences build on probability theory and Gentner's structure-mapping framework; proposes rules for semi-automated correspondence discovery; and describes how correspondences can explain and construct analogies.

Description

Keywords

analogy, problem-solving, representation

Journal Title

Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC

Conference Name

2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Journal ISSN

1943-6092
1943-6106

Volume Title

2020-August

Publisher

IEEE

Rights

All rights reserved
Sponsorship
EPSRC (EP/T019603/1)
Engineering and Physical Sciences Research Council (EP/R030650/1)