Improving arithmetic performance with number sense training: An investigation of underlying mechanism

A nonverbal primitive number sense allows approximate estimation and mental manipulations on numerical quantities without the use of numerical symbols. In a recent randomized controlled intervention study in adults, we demonstrated that repeated training on a non-symbolic approximate arithmetic task resulted in improved exact symbolic arithmetic performance, suggesting a causal relationship between the primitive number sense and arithmetic competence. Here, we investigate the potential mechanisms underlying this causal relationship. We constructed multiple training conditions designed to isolate distinct cognitive components of the approximate arithmetic task. We then assessed the effectiveness of these training conditions in improving exact symbolic arithmetic in adults. We found that training on approximate arithmetic, but not on numerical comparison, numerical matching, or visuo-spatial short-term memory, improves symbolic arithmetic performance. In addition, a second experiment revealed that our approximate arithmetic task does not require verbal encoding of number, ruling out an alternative explanation that participants use exact symbolic strategies during approximate arithmetic training. Based on these results, we propose that nonverbal numerical quantity manipulation is one key factor that drives the link between the primitive number sense and symbolic arithmetic competence. Future work should investigate whether training young children on approximate arithmetic tasks even before they solidify their symbolic number understanding is fruitful for improving readiness for math education.

[1]  Justin Halberda,et al.  Intuitive sense of number correlates with math scores on college-entrance examination. , 2012, Acta psychologica.

[2]  Elizabeth M. Brannon,et al.  Malleability of the approximate number system: effects of feedback and training , 2012, Front. Hum. Neurosci..

[3]  C. Blair,et al.  Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. , 2007, Child development.

[4]  Charles Hulme,et al.  The cognitive foundations of reading and arithmetic skills in 7- to 10-year-olds. , 2005, Journal of experimental child psychology.

[5]  L. Woodward,et al.  Preschool executive functioning abilities predict early mathematics achievement. , 2010, Developmental psychology.

[6]  Fürst Aj,et al.  The role of working memory in mental arithmetic. , 1998 .

[7]  Evelyn H. Kroesbergen,et al.  Early Numerical Development and the Role of Non-Symbolic and Symbolic Skills. , 2013 .

[8]  Michael C. Frank,et al.  Verbal interference suppresses exact numerical representation , 2011, Cognitive Psychology.

[9]  Justin Halberda,et al.  Number sense across the lifespan as revealed by a massive Internet-based sample , 2012, Proceedings of the National Academy of Sciences.

[10]  Emmy Defever,et al.  The Approximate Number System is not Predictive for Symbolic Number Processing in Kindergarteners , 2014, Quarterly journal of experimental psychology.

[11]  Daniel Ansari,et al.  Mapping numerical magnitudes onto symbols: the numerical distance effect and individual differences in children's mathematics achievement. , 2009, Journal of experimental child psychology.

[12]  L. Feigenson,et al.  Preschoolers' Precision of the Approximate Number System Predicts Later School Mathematics Performance , 2011, PloS one.

[13]  M. Trivella,et al.  Measurement of Warfarin in the Oral Fluid of Patients Undergoing Anticoagulant Oral Therapy , 2011, PloS one.

[14]  E. Spelke,et al.  Language and Conceptual Development series Core systems of number , 2004 .

[15]  Xinlin Zhou,et al.  Cognitive correlates of performance in advanced mathematics. , 2012, The British journal of educational psychology.

[16]  S. Gathercole,et al.  Executive functions and achievements in school: Shifting, updating, inhibition, and working memory , 2006, Quarterly journal of experimental psychology.

[17]  Philip M. Corsi Human memory and the medial temporal region of the brain. , 1972 .

[18]  X Seron,et al.  Involvement of short-term memory in complex mental calculation , 2001, Memory & cognition.

[19]  S. Dehaene,et al.  THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING , 2003, Cognitive neuropsychology.

[20]  Elizabeth S. Spelke,et al.  Non-symbolic arithmetic abilities and mathematics achievement in the first year of formal schooling , 2010, Cognition.

[21]  Steven C. Dakin,et al.  Sensitivity to numerosity is not a unique visuospatial psychophysical predictor of mathematical ability , 2013, Vision Research.

[22]  J. LeFevre,et al.  Pathways to mathematics: longitudinal predictors of performance. , 2010, Child development.

[23]  Sian L. Beilock,et al.  Numerical ordering ability mediates the relation between number-sense and arithmetic competence , 2011, Cognition.

[24]  Melissa E. Libertus,et al.  Preschool acuity of the approximate number system correlates with school math ability. , 2011, Developmental science.

[25]  Ruth B. Ekstrom,et al.  Manual for kit of factor-referenced cognitive tests , 1976 .

[26]  Justin Halberda,et al.  Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). , 2011, Child development.

[27]  Emmy Defever,et al.  Association between basic numerical abilities and mathematics achievement. , 2012, The British journal of developmental psychology.

[28]  D. Dimitrov,et al.  Pretest-posttest designs and measurement of change. , 2003, Work.

[29]  D. Geary Cognitive predictors of achievement growth in mathematics: a 5-year longitudinal study. , 2011, Developmental psychology.

[30]  Elizabeth M Brannon,et al.  Training the Approximate Number System Improves Math Proficiency , 2013, Psychological science.

[31]  R H Logie,et al.  Counting on working memory in arithmetic problem solving , 1994, Memory & cognition.

[32]  E. Spelke,et al.  Newborn infants perceive abstract numbers , 2009, Proceedings of the National Academy of Sciences.

[33]  Edward A. Wasserman,et al.  The Oxford handbook of comparative cognition , 2012 .

[34]  S. Dehaene,et al.  The Number Sense: How the Mind Creates Mathematics. , 1998 .

[35]  S. Dehaene,et al.  Exact and Approximate Arithmetic in an Amazonian Indigene Group , 2004, Science.

[36]  Matthew Inglis,et al.  Non-verbal number acuity correlates with symbolic mathematics achievement: But only in children , 2011, Psychonomic bulletin & review.

[37]  Daniel C. Hyde,et al.  Brief non-symbolic, approximate number practice enhances subsequent exact symbolic arithmetic in children , 2014, Cognition.

[38]  A. Gevins,et al.  Spatiotemporal dynamics of component processes in human working memory. , 1993, Electroencephalography and clinical neurophysiology.

[39]  C. Gallistel,et al.  Non-verbal numerical cognition: from reals to integers , 2000, Trends in Cognitive Sciences.

[40]  Daniel Ansari,et al.  A Two-Minute Paper-and-Pencil Test of Symbolic and Nonsymbolic Numerical Magnitude Processing Explains Variability in Primary School Children's Arithmetic Competence , 2013, PloS one.

[41]  Bert Reynvoet,et al.  Approximate number sense, symbolic number processing, or number-space mappings: what underlies mathematics achievement? , 2013, Journal of experimental child psychology.

[42]  Daniel Ansari,et al.  Nonsymbolic numerical magnitude comparison: reliability and validity of different task variants and outcome measures, and their relationship to arithmetic achievement in adults. , 2012, Acta psychologica.

[43]  M. Barnes,et al.  Working memory and mathematics: A review of developmental, individual difference, and cognitive approaches. , 2010 .

[44]  David C Burr,et al.  Visual sustained attention and numerosity sensitivity correlate with math achievement in children. , 2013, Journal of experimental child psychology.

[45]  Stanislas Dehaene,et al.  Moving along the Number Line: Operational Momentum in Nonsymbolic Arithmetic , 2006 .

[46]  Charles Hulme,et al.  Children’s Arithmetic Development , 2014, Psychological science.

[47]  Nicole M. McNeil,et al.  ANS acuity and mathematics ability in preschoolers from low-income homes: contributions of inhibitory control. , 2013, Developmental science.

[48]  Justin Halberda,et al.  Individual differences in non-verbal number acuity correlate with maths achievement , 2008, Nature.

[49]  Silke M. Göbel,et al.  Impact of High Mathematics Education on the Number Sense , 2012, PloS one.

[50]  Elizabeth M Brannon,et al.  The representation of numerical magnitude , 2006, Current Opinion in Neurobiology.

[51]  S. Wiebe,et al.  Short-Term Memory, Working Memory, and Executive Functioning in Preschoolers: Longitudinal Predictors of Mathematical Achievement at Age 7 Years , 2008, Developmental neuropsychology.

[52]  Gavin R. Price,et al.  Numerical predictors of arithmetic success in grades 1-6. , 2014, Developmental science.

[53]  Elizabeth S Spelke,et al.  Language and number: a bilingual training study , 2001, Cognition.

[54]  Andrea Facoetti,et al.  Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia , 2010, Cognition.

[55]  Stanislas Dehaene,et al.  Dynamic representations underlying symbolic and nonsymbolic calculation: Evidence from the operational momentum effect , 2009, Attention, perception & psychophysics.