Correspondence-based analogies for choosing problem representations


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)