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ERIC Number: EJ1296339
Record Type: Journal
Publication Date: 2021
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1524-8372
EISSN: N/A
Available Date: N/A
Learning Improper Fractions with the Number Line and the Area Model
Tian, Jing; Bartek, Victoria; Rahman, Maya Z.; Gunderson, Elizabeth A.
Journal of Cognition and Development, v22 n2 p305-327 2021
Number lines and area models are both used pervasively in teaching fractions. Prior studies found that second and third graders demonstrated better magnitude knowledge of proper fractions after a 15-minute training using the number line as compared to using the area model. The current study aimed to extend these findings to improper fractions. We randomly assigned fourth and fifth graders to a number line training, an area model training, or a non-numerical control condition. The number line and area model trainings involved both proper and improper fractions and were closely modeled on the training procedures in prior studies. Fraction training with the area model produced improvements in children's area model estimation of proper and improper fractions. However, contrary to our expectations, training with the number line did not improve number line estimation, and neither training led to improvements in transfer tasks assessing fraction magnitude knowledge. These findings suggest that children can develop the skill to represent improper fractions on area models with brief training. Nevertheless, it is unclear whether this skill enhances a comprehensive understanding of fraction magnitudes.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 4; Intermediate Grades; Grade 5; Middle Schools
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DRL1452000; ECR1760144
Data File: URL: https://osf.io/c7a5q/
Author Affiliations: N/A