Abstract
Previous work has shown that adults in the United States selectively use fractions and decimals to model discrete and continuous entities, respectively. However, it is unclear whether this apparent semantic alignment between the format of rational numbers and quantitative ontology is specific to the American education system, the English language, or measuring conventions (primarily imperial measures). Here we test whether similar alignments hold for Korean college students who differ from American students in educational background, language, and measurement conventions. Across three experiments, we found that the alignments found in the United States were generally replicated in South Korea. Relative to Americans, Korean students showed an overall bias towards using continuous representations, perhaps related to their exclusive use of the metric measurement system and to differences in instructional practice identified in a textbook analysis.
Original language | English |
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Title of host publication | Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015 |
Editors | David C. Noelle, Rick Dale, Anne Warlaumont, Jeff Yoshimi, Teenie Matlock, Carolyn D. Jennings, Paul P. Maglio |
Publisher | The Cognitive Science Society |
Pages | 1261-1266 |
Number of pages | 6 |
ISBN (Electronic) | 9780991196722 |
Publication status | Published - 2015 |
Event | 37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015 - Pasadena, United States Duration: 2015 Jul 23 → 2015 Jul 25 |
Publication series
Name | Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015 |
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Conference
Conference | 37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015 |
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Country/Territory | United States |
City | Pasadena |
Period | 15/7/23 → 15/7/25 |
Bibliographical note
Funding Information:Preparation of this paper was supported by NSF Fellowship DGE-1144087 to Melissa DeWolf.
Publisher Copyright:
© Cognitive Science Society, CogSci 2015.All rights reserved.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Cognitive Neuroscience