Learning a Novel Number System: The Role of Compositional Rules and Counting Procedures

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Bibliographic Details
Title: Learning a Novel Number System: The Role of Compositional Rules and Counting Procedures
Language: English
Authors: Sebastian Holt, David Barner
Source: Cognitive Science. 2025 49(6).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 31
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Adult Education
Descriptors: Computation, Numbers, Adult Students, Number Concepts, Multiplication, Memory, Rote Learning, Numeracy, Word Lists
DOI: 10.1111/cogs.70071
ISSN: 0364-0213
1551-6709
Abstract: Humans count to indefinitely large numbers by recycling words from a finite list, and combining them using rules--for example, combining sixty with unit labels to generate sixty-one, sixty-two, and so on. Past experimental research has focused on children learning base-10 systems, and has reported that this rule learning process is highly protracted. This raises the possibility that rules are slow to emerge because they are not needed in order to represent smaller numbers (e.g., up to 20). Here, we investigated this possibility in adult learners by training them on a series of artificial number "languages" that manipulated the availability of rules, by varying the numerical base in each language. We found (1) that the size of a base--for example, base-2 versus base-5--had little effect on learning, (2) that learners struggled to acquire multiplicative rules while they learned additive rules more easily, (3) that memory for number words was greater when they were taught as part of a sequential count list, but (4) that learning numbers as part of a rote list may impair the ability to map them to magnitudes.
Abstractor: As Provided
Notes: https://osf.io/rwqk7
Entry Date: 2025
Accession Number: EJ1475024
Database: ERIC
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Description
Abstract:Humans count to indefinitely large numbers by recycling words from a finite list, and combining them using rules--for example, combining sixty with unit labels to generate sixty-one, sixty-two, and so on. Past experimental research has focused on children learning base-10 systems, and has reported that this rule learning process is highly protracted. This raises the possibility that rules are slow to emerge because they are not needed in order to represent smaller numbers (e.g., up to 20). Here, we investigated this possibility in adult learners by training them on a series of artificial number "languages" that manipulated the availability of rules, by varying the numerical base in each language. We found (1) that the size of a base--for example, base-2 versus base-5--had little effect on learning, (2) that learners struggled to acquire multiplicative rules while they learned additive rules more easily, (3) that memory for number words was greater when they were taught as part of a sequential count list, but (4) that learning numbers as part of a rote list may impair the ability to map them to magnitudes.
ISSN:0364-0213
1551-6709
DOI:10.1111/cogs.70071