Approximate numerical abilities and mathematics: Insight from correlational and experimental training studies

Daniel Hyde, I. Berteletti, Y. Mou

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Humans have the ability to nonverbally represent the approximate numerosity of sets of objects. The cognitive system that supports this ability, often referred to as the approximate number system (ANS), is present in early infancy and continues to develop in precision over the life span. It has been proposed that the ANS forms a foundation for uniquely human symbolic number and mathematics learning. Recent work has brought two types of evidence to bear on the relationship between the ANS and human mathematics: correlational studies showing individual differences in approximate numerical abilities correlate with individual differences in mathematics achievement and experimental studies showing enhancing effects of nonsymbolic approximate numerical training on exact, symbolic mathematical abilities. From this work, at least two accounts can be derived from these empirical data. It may be the case that the ANS and mathematics are related because the cognitive and brain processes responsible for representing numerical quantity in each format overlap, the Representational Overlap Hypothesis, or because of commonalities in the cognitive operations involved in mentally manipulating the representations of each format, the Operational Overlap hypothesis. The two hypotheses make distinct predictions for future work to test.

Original languageEnglish (US)
Title of host publicationProgress in Brain Research
EditorsMarinella Cappelletti, Wim Fias
PublisherElsevier B.V.
Pages335-351
Number of pages17
DOIs
StatePublished - 2016

Publication series

NameProgress in Brain Research
Volume227
ISSN (Print)0079-6123
ISSN (Electronic)1875-7855

Fingerprint

Aptitude
Mathematics
Individuality
Learning
Brain

Keywords

  • ANS
  • Approximate number system
  • Intraparietal sulcus
  • Mathematics
  • Number
  • Numerical cognition
  • Parietal lobe
  • Training

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Hyde, D., Berteletti, I., & Mou, Y. (2016). Approximate numerical abilities and mathematics: Insight from correlational and experimental training studies. In M. Cappelletti, & W. Fias (Eds.), Progress in Brain Research (pp. 335-351). (Progress in Brain Research; Vol. 227). Elsevier B.V.. https://doi.org/10.1016/bs.pbr.2016.04.011

Approximate numerical abilities and mathematics : Insight from correlational and experimental training studies. / Hyde, Daniel; Berteletti, I.; Mou, Y.

Progress in Brain Research. ed. / Marinella Cappelletti; Wim Fias. Elsevier B.V., 2016. p. 335-351 (Progress in Brain Research; Vol. 227).

Research output: Chapter in Book/Report/Conference proceedingChapter

Hyde, D, Berteletti, I & Mou, Y 2016, Approximate numerical abilities and mathematics: Insight from correlational and experimental training studies. in M Cappelletti & W Fias (eds), Progress in Brain Research. Progress in Brain Research, vol. 227, Elsevier B.V., pp. 335-351. https://doi.org/10.1016/bs.pbr.2016.04.011
Hyde D, Berteletti I, Mou Y. Approximate numerical abilities and mathematics: Insight from correlational and experimental training studies. In Cappelletti M, Fias W, editors, Progress in Brain Research. Elsevier B.V. 2016. p. 335-351. (Progress in Brain Research). https://doi.org/10.1016/bs.pbr.2016.04.011
Hyde, Daniel ; Berteletti, I. ; Mou, Y. / Approximate numerical abilities and mathematics : Insight from correlational and experimental training studies. Progress in Brain Research. editor / Marinella Cappelletti ; Wim Fias. Elsevier B.V., 2016. pp. 335-351 (Progress in Brain Research).
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