Correspondence-based analogies for choosing problem representations

Stockdill, Aaron, Raggi, Daniel, Jamnik, Mateja, Garcia, Grecia Garcia, Sutherland, Holly E A, Cheng, Peter C -H and Sarkar, Advait (2020) Correspondence-based analogies for choosing problem representations. IEEE Symposium on Visual Languages and Human Centric Computing (VL/HCC), Dunedin, New Zealand, 10-14 Aug 2020. Published in: Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC. 1-5. IEEE ISSN 1943-6092 ISBN 9781728169019

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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.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Informatics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 20 Sep 2021 09:04
Last Modified: 20 Sep 2021 09:04

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