The Heterogeneity of Mathematical Learning Disabilities: Consequences for Research and Practice

Evelyn H. Kroesbergen; Marije D. E.  Huijsmans; Tijs Kleemans

Vol. 14 No. 3 (2022) Special Issue: Typical and Atypical Mathematics Learning: What do We Learn from Recent Studies?

The Heterogeneity of Mathematical Learning Disabilities: Consequences for Research and Practice

Evelyn H. Kroesbergen
Marije D. E. Huijsmans
Tijs Kleemans

Published March 16, 2022 | Pages: 227-241 | Views: 825

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Abstract

This paper argues why children with Mathematical Learning Disabilities (MLD) do not form a unitary group. Instead, they should be regarded as individuals with unique profiles of strengths and weaknesses that explain their mathematical difficulties. To build this argument, we shortly recapitulate the research on MLD, which has mainly been focused on characterizing the group of children with MLD–as compared to control groups. However, these general characteristics are not applicable to all children with MLD. Furthermore, attempts to define separate, relevant subgroups merely failed. Based on some recent studies, we show how individual profiles of strengths and weaknesses might help in understanding the specific mathematical difficulties of a child. We propose a new multidimensional framework of MLD, in which both strengths and weaknesses are recognized. We argue that both research and practice are in need of further research that takes individual differences into account.

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References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.
Alloway, T. P., Gathercole, S. E., Kirkwood, H., & Elliott, J. (2009). The cognitive and behavioral characteristics of children with low working memory. Child Development, 80(2), 606–621. https://doi.org/10.1111/j.1467-8624.2009.01282
Astle, D. E., & Fletcher-Watson, S. (2020). Beyond the core-deficit hypothesis in developmental disorders. Current Directions in Psychological Science, 29(5), 431-437. https://doi.org/10.1177/0963721420925518
Astle, D. E., Bathelt, J., The CALM Team, & Holmes, J. (2019). Remapping the cognitive and neural profiles of children who struggle at school. Developmental Science, 22(1), e12747. https://doi.org/10.1111/desc.12747
Bartelet, D., Ansari, D., Vaessen, A., & Blomert, L. (2014). Cognitive subtypes of mathematics learning difficulties in primary education. Research in Developmental Disabilities, 35, 657–670. https://doi.org/10.1016/j.ridd.2013.12.010
Berch, D. B. (2005). Making sense of number sense: Implications for children with mathematical disabilities. Journal of Learning Disabilities, 38(4), 333-339. https://doi.org/10.1177/00222194050380040901
Borsboom, D., & Cramer, A. O. (2013). Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
Butterworth, B. (1999). The Mathematical Brain. London: Macmillan.
Butterworth, B. (2008). Developmental dyscalculia. In J. Reed, & J. Warner-Rogers (Eds.), Child Neuropsychology: Concepts, Theory, And Practice (pp. 357–374). Hoboken, USA: Wiley-Blackwell.
Butterworth, B., Varma, S., Laurillard, D. (2011). Dyscalculia: From brain to education. Science, 332, 1049–1053. https://doi.org/10.1126/science.1201536
Capano, L., Minden, D., Chen, S. X., Schachar, R. J., & Ickowicz, A. (2008). Mathematical learning disorder in school-age children with attention-deficit hyperactivity disorder. The Canadian Journal of Psychiatry, 53(6), 392-399. https://doi.org/10.1177/070674370805300609
Cheng, D., Xiao, Q., Chen, Q., Cui, J., & Zhou, X. (2018). Dyslexia and dyscalculia are characterized by common visual perception deficits. Developmental Neuropsychology, 43(6), 497-507. https://doi.org/10.1080/87565641.2018.1481068
Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002).A latent variable analysis of working memory capacity, short–term memory capacity, pro-cessing speed, and general fluid intelligence. Intelligence, 30, 163–183. https://doi.org/10.1016/S0160-2896(01)00096-4
De Smedt, B., & Gilmore, C. K. (2011). Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties. Journal of Experimental Child Psychology, 108(2), 278-292. https://doi.org/10.1016/j.jecp.2010.09.003
De Smedt, B., Verschaffel, L., & Ghesqui.re, P. (2012). Mathematics learning disability. Boston, USA: Springer
De Visscher, A., & Noël, M. P. (2013). A case study of arithmetic facts dyscalculia caused by a hypersensitivity-to-interference in memory. Cortex, 49(1), 50-70. https://doi.org/10.1016/j.cortex.2012.01.003
David, C. V. (2012). Working memory deficits in math learning difficulties: A meta-analysis. International Journal of Developmental Disabilities, 58(2), 67-84. https://doi.org/10.1179/2047387711Y.0000000007
Davidse, N. J., de Jong, M. T., Shaul, S., & Bus, A. G. (2014). A twin-case study of developmental number sense impairment. Cognitive Neuropsychology, 31(3), 221-236. https://doi.org/10.1080/02643294.2013.876980
Dehaene, S., Bossini, S., & Giraux, P. (1993). The mental representation of parity and number magnitude. Journal of Experimental Psychology, 122(3), 371–396. https://doi.org/10.1037/0096-3445.122.3.371
Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitve Neuropsychology, 20(3), 487–506. https://doi.org/10.1080/02643290244000 239
Desoete, A. (2007). Students with mathematical disabilities in Belgium: From definition, classification and assessment to STICORDI devices. In T. E. Scruggs & M. A. Mastropieri (Eds.), Advances in learning and behavioral disabilities (pp.181–221). Oxford, UK: Elsevier.
Desoete, A., & De Weerdt, F. (2013). Can executive functions help to understand children with mathematical learning disorders and to improve instruction?. Learning Disabilities, 11(2), 27-39.
Donker, M., Kroesbergen, E., Slot, E., Van Viersen, S., & De Bree, E. (2016). Alphanumeric and non-alphanumeric Rapid Automatized Naming in children with reading and/or spelling difficulties and mathematical difficulties. Learning and Individual Differences, 47, 80–87. https://doi.org/10.1016/j.lindif.2015.12.011
Elliott, L., Feigenson, L., Halberda, J., & Libertus, M. E. (2019). Bidirectional, longitudinal associations between math ability and approximate number system precision in childhood. Journal of Cognition and Development, 20(1), 56-74. https://doi.org/10.1080/15248372.2018.1551218
Friso-van den Bos, I., Kroesbergen, E. H., Van Luit, J. E., Xenidou-Dervou, I., Jonkman, L. M., Van der Schoot, M., & Van Lieshout, E. C. (2015). Longitudinal development of number line estimation and mathematics performance in primary school children. Journal of Experimental Child Psychology, 134, 12-29. https://doi.org/10.1016/j.lindif.2014.05.003
Fonseca-Pedrero, E. (2017). Network analysis: A new way of understanding psychopathology? Revista de Psiquiatría y Salud Mental, 10(4), 206-215. https://doi.org/10.1016/j.rpsmen.2017.10.005
Geary, D. C. (1993). Mathematical disabilities: Cognitive, neuropsychological, and genetic components. Psychological Bulletin, 114(2), 345. https://doi.org/10.1037/0033-2909.114.2.345
Geary, D. C. (2004). Mathematics and learning disabilities. Journal of Learning Disabilities, 37(1), 4-15. https://doi.org/10.1177/00222194040370010201

Geary, D. C. (2011). Consequences, characteristics, and causes of mathematical learning disabilities and persistent low achievement in mathematics. Journal of Developmental and Behavioral Pediatrics, 32(3), 250–263. https://doi.org/10.1097/DBP.0b013e318209edef
Gelderblom, G. (2010). Effectief omgaan met zwakke rekenaars [Dealing effectively with children with mathematical learning difficulties]. Amersfoort: CPS
Hoffman, B., & Schraw, G. (2009). The influence of self-efficacy and working memory capacity on problem-solving efficiency. Learning and Individual Differences, 19(1), 91-100. https://doi.org/10.1016/j.lindif.2008.08.001
Huijsmans, M. D. E. (2021). Explaining variation in mathematics achievement: Characteristics of children with and without mathematical learning difficulties [Dissertation, Radboud University]. Radboud Repository.
Huijsmans, M. D., Kleemans, T., & Kroesbergen, E. H. (2021). How cognitive strengths compensate weaknesses related to specific learning difficulties in fourth-grade children. Frontiers in Psychology, 12, 363. https://doi.org/10.3389/fpsyg.2021.552458
Huijsmans, M. D., Kleemans, T., & Kroesbergen, E. H. (2022). The cognitive profiles for different samples of mathematical learning difficulties and their similarity to typical development: Evidence from a longitudinal study. Journal of Experimental Child Psychology, 214, 105288. https://doi.org/10.1016/j.jecp.2021.105288
Huijsmans, M. D., Kleemans, T., Van der Ven, S. H., & Kroesbergen, E. H. (2020). The relevance of subtyping children with mathematical learning disabilities. Research in Developmental Disabilities, 104, 103704. https://doi.org/10.1016/j.ridd.2020.103704
Hudziak, J. J., Achenbach, T. M., Althoff, R. R., & Pine, D. S. (2007). A dimensional approach to developmental psychopathology. International Journal of Methods in Psychiatric Research, 16, 16–23. https://doi.org/10.1002/mpr.217
Jordan, N. C., Kaplan, D., Locuniak, M. N., & Ramineni, C. (2007). Predicting first‐grade math achievement from developmental number sense trajectories. Learning Disabilities Research & Practice, 22(1), 36-46. https://doi.org/10.1111/j.1540-5826.2007.00229.x

Karagiannakis, G., Baccaglini-Frank, A., & Papadatos, Y. (2014). Mathematical learning difficulties subtypes classification. Frontiers in Human Neuroscience, 8, 57. https://doi.org/10.3389/fnhum.2014.00057
Kleemans, T., & Segers, E. (2020). Linguistic precursors of advanced math growth in first-language and second-language learners. Research in Developmental Disabilities, 103, 103661. https://doi.org/10.1016/j.ridd.2020.103661
Koriakin, T., White, E., Breaux, K. C., DeBiase, E., O’Brien, R., Howell, M., Costa, M., Liu, X., Pan, X., & Courville, T. (2016). Patterns of cognitive strengths and weaknesses and relationships to math errors. Journal of Psychoeducational Assessment, 35, 155–167. https://doi.org/10.1177/0734282916669909
Kroesbergen, E.H., & Van Dijk, M. (2015). Working memory and number sense as predictors of mathematical (dis-) ability. Zeitschrift für Psychologie, 223, 102–109. https://doi.org/10.1027/ 2151-2604/a000208
Kroesbergen, E.H., Huijsmans, M.D.E., & Friso-van den Bos, I. (2021). Mathematics performance and cognitive characteristics of mathematical learning disabilities: A meta-analysis. Manuscript submitted for publication.
Landerl, K., Bevan, A., & Butterworth, B. (2004). Developmental dyscalculia and basic numerical capacities: A study of 8–9-year-old students. Cognition, 93(2), 99-125. https://doi.org/10.1016/j.cognition.2003.11.004
Landerl, K., Fussenegger, B., Moll, K., & Willburger, E. (2009). Dyslexia and dyscalculia: Two learning disorders with different cognitive profiles. Journal of Experimental Child Psychology, 103, 309–324. https://doi.org/10.1016/j.jecp.2009.03.006
Lewis, K. E., & Lynn, D. M. (2018a). Access through compensation: Emancipatory view of a mathematics learning disability. Cognition and Instruction, 36(4), 424-459. https://doi.org/10.1080/07370008.2018.1491581
Lewis, K. E., & Lynn, D. M. (2018b). Against the Odds: Insights from a statistician with dyscalculia. Education Sciences, 8(2), 63. https://doi.org/10.3390/educsci8020063
Lewis, K. E., Sweeney, G., Thompson, G. M., & Adler, R. M. (2020). Integer number sense and notation: A case study of a student with a mathematics learning disability. The Journal of Mathematical Behavior, 59, 100797. https://doi.org/10.1016/j.jmathb.2020.100797
Mammarella, I. C., Caviola, S., Giofrè, D., & Szűcs, D. (2018). The underlying structure of visuospatial working memory in children with mathematical learning disability. British Journal of Developmental Psychology, 36(2), 220-235. https://doi.org/10.1111/bjdp.12202
Mammarella, I. C., Toffalini, E., Caviola, S., Colling, L., & Szűcs, D. (2021). No evidence for a core deficit in developmental dyscalculia or mathematical learning disabilities. Journal of Child Psychology and Psychiatry, 62(6), 704-714. https://doi.org/10.1111/jcpp.13397
Mazzocco, M. M. M. (2007). Defining and differentiating mathematical learning disabilities and difficulties. In D. B. Berch & M. M. M. Mazzocco (Eds.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (p. 29–47). Baltimore, MD: Brookes Publishers. https://doi.org/10.1097/DBP.0b013e31817aefe8
Mazzocco, M. M. M., Feigenson, L., & Halberda, J. (2011), Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). Child Development, 82, 1224–1237. https://doi.org/10.1111/j.1467-8624.2011.01608
McGrath, L. & Peterson, R., & Pennington, B. (2019). The Multiple Deficit Model: Progress, Problems, and Prospects. Scientific Studies of Reading. 24, 1-7. 10.1080/10888438.2019.1706180
Moeller, K., Fischer, U., Cress, U., & Nuerk, H.-C. (2012). Diagnostics and intervention in developmental dyscalculia: Current issues and novel perspectives. In Z. Breznitz, O. Rubinsten, V.J. Molfese, & D. Molfese, (Eds.) Reading, Writing, Mathematics and the Developing Brain: Listening to Many Voices (pp 233-2753). New York: Springer Publications. https://doi.org/10.1007/978-94-007-4086-0_14
Moeller, K., Neuburger, S., Kaufmann, L., Landerl, K., & Nuerk,H.C. (2009). Basic number processing deficits in developmental discalculia: Evidence from eye tracking. Cognitive Development, 24(4), 371 – 386 https://doi.org/10.1016/j.cogdev.2009.09.007
Moll, K., Kunze, S., Neuhoff, N., Bruder, J., & Schulte-Körne, G. (2014). Specific learning disorder: Prevalence and gender differences. PLoS one, 9(7), e103537. https://doi.org/10.1371/journal.pone.0103537

Morsanyi, K., van Bers, B. M., O’Connor, P. A., & McCormack, T. (2018). Developmental dyscalculia is characterized by order processing deficits: Evidence from numerical and non-numerical ordering tasks. Developmental Neuropsychology, 43(7), 595-621. https://doi.org/10.1080/87565641.2018.1502294
Murphy, M. M., Mazzocco, M. M., Hanich, L. B., & Early, M. C. (2007). Cognitive characteristics of children with mathematics learning disability (MLD) vary as a function of the cutoff criterion used to define MLD. Journal of Learning Disabilities, 40(5), 458–478. https://doi.org/10.1177/00222194070400050901
Passolunghi, M. C., & Siegel, L. S. (2004). Working memory and access to numerical information in children with disability in mathematics. Journal of Experimental Child Psychology, 88(4), 348–367. https://doi.org/10.1016/j.jecp.2004.04.002
Peng, P., Congying, S., Beilei, L., & Sha, T. (2012). Phonological storage and executive function deficits in children with mathematics difficulties. Journal of Experimental Child Psychology, 112(4), 452-466. https://doi.org/10.1016/j.jecp.2012.04.004
Peng, P., & Fuchs, D. (2016). A meta-analysis of working memory deficits in children with learning difficulties: Is there a difference between verbal domain and numerical domain?. Journal of Learning Disabilities, 49(1), 3-20. . https://doi.org/10.1177/0022219414521667
Peng, P., & Kievit, R. A. (2020). The development of academic achievement and cognitive abilities: A bidirectional perspective. Child Development Perspectives, 14(1), 15-20. https://doi.org/10.1111/cdep.12352
Peng, P., Wang, C., & Namkung, J. (2018). Understanding the cognition related to mathematics difficulties: A meta-analysis on the cognitive deficit profiles and the bottleneck theory. Review of Educational Research, 88(3), 434-476. https://doi.org/10.3102/0034654317753350
Pennington, B. F. (2006). From single to multipled models of developmental disorders. Cognition, 101, 385–413. https://doi.org/10.1016/j.cognition.2006.04.008
Peters, L., & Ansari, D. (2019). Are specific learning disorders truly specific, and are they disorders?. Trends in Neuroscience and Education, 17, 100115. https://doi.org/10.1016/j.tine.2019.100115.

Peters, L., de Beeck, H. O., & De Smedt, B. (2020). Cognitive correlates of dyslexia, dyscalculia and comorbid dyslexia/dyscalculia: Effects of numerical magnitude processing and phonological processing. Research in Developmental Disabilities, 107, 103806.
Pieters, S., Roeyers, H., Rosseel, Y., Van Waelvelde, H., & Desoete, A. (2015). Identifying subtypes among children with developmental coordination disorder and mathematical learning disabilities, using model-based clustering. Journal of Learning Disabilities, 48(1), 83-95. https://doi.org/10.1177/0022219413491288
Posner, M. I., Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25–42. https://doi.org/10.1146/annurev.ne.13.030190.000325
Raghubar, K. P., Barnes, M. A., & Hecht, S. A. (2010). Working memory and mathematics: A review of developmental, individual difference, and cognitive approaches. Learning and individual differences, 20(2), 110-122. https://doi.org/10.1016/j.lindif.2009.10.005
Rousselle, L., & Noël, M. P. (2007). Basic numerical skills in children with mathematics learning disabilities: A comparison of symbolic vs non-symbolic number magnitude processing. Cognition, 102(3), 361-395. https://doi.org/10.1016/j.cognition.2006.01.005
Ruijssenaars, A. J. J. M., Van Luit, J. E. H., Van Lieshout, E. C. D. M., Kroesbergen, E.H. (2021). Handboek Dyscalculie en Rekenproblemen. Een dynamisch ontwikkelingsperspectief [Manual for Dyscalculia and Mathematical Learning Difficulties. A Dynamic Developmental Perspective]. Rotterdam, the Netherlands: Lemniscaat.
Salvador, L., Moura, R., Wood, G., & Haase, V. G. (2019). Cognitive heterogeneity of math difficulties: A bottom-up classification approach. Journal of Numerical Cognition, 5, 55–85. https://doi.org/10.5964/jnc.v5i1.60
Sasanguie, D., Lyons, I. M., De Smedt, B., & Reynvoet, B. (2017). Unpacking symbolic number comparison and its relation with arithmetic in adults. Cognition, 165, 26–38. https://doi.org/10.1016/j.cognition.2017.04.007

Schneider, M., Beeres, K., Coban, L., Merz, S., Schmidt, S., Stricker, J., & De Smedt, B. (2017). Associations of non-symbolic and symbolic numerical magnitude processing with mathematical competence: A meta-analysis. Developmental Science, 20(3), 1-16. https://doi.org/10.1111/desc.12372
Schwenk, C., Sasanguie, D., Kuhn, J. T., Kempe, S., Doebler, P., & Holling, H. (2017). (Non-) symbolic magnitude processing in children with mathematical difficulties: A meta-analysis. Research in Developmental Disabilities, 64, 152-167. https://doi.org/10.1016/j.ridd.2017. 03.003
Shalev R. S. (2004). Developmental dyscalculia. Journal of Child Neurology, 19(10), 765–771. https://doi.org/10.1111/j.1469-8749.2005.tb01100.
Simmons, F. R., & Singleton, C. (2008). Do weak phonological representations impact on arithmetic development? A review of research into arithmetic and dyslexia. Dyslexia, 14(2), 77–94. https://doi.org/10.1002/dys.341
Slot, E. M., van Viersen, S., de Bree, E. H., & Kroesbergen, E. H. (2016). Shared and unique risk factors underlying mathematical disability and reading and spelling disability. Frontiers in Psychology, 7, 1–12. https://doi.org/10.3389/fpsyg.2016.0080
Szűcs, D. (2016). Subtypes and comorbidity in mathematical learning disabilities: Multidimensional study of verbal and visual memory processes is key to understanding. Progress in Brain Research, 227, 277-304. https://doi.org/10.1016/bs.pbr.2016.04.027
Szűcs, D., Devine, A., Soltész, F., Nobes, A., & Gabriel, F. (2013). Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment. Cortex, 49, 2674–2688. https://doi.org/10.1016/j.cortex.2013.06.007
Szumski, G., & Karwowski, M. (2019). Exploring the Pygmalion effect: The role of teacher expectations, academic self-concept, and class context in students’ math achievement. Contemporary Educational Psychology, 59, 101787. https://doi.org/10.1016/j.cedpsych.2019.101787
Träff, U., Olsson, L., Östergren, R., & Skagerlund, K. (2017). Heterogeneity of developmental dyscalculia: Cases with different deficit profiles. Frontiers in Psychology, 7, 2000. https://doi.org/10.3389/fpsyg.2016.02000

Träff, U., Olsson, L., Östergren, R., & Skagerlund, K. (2020). Development of early domain-specific and domain-general cognitive precursors of high and low math achievers in grade 6. Child Neuropsychology, 26(8), 1065-1090. https://doi.org/10.1080/09297049.2020.1739259
Van Luit, J. E. H. (2019). Diagnostics of dyscalculia. In A. Fritz, V. Haase, & P. R.s.nen (Eds.), International Handbook of Mathematical Learning Difficulties. Cham: Springer.
Van Luit, J. E. H., & Toll, S. W. M. (2018). Associative cognitive factors of math problems in students diagnosed with developmental dyscalculia. Frontiers in Psychology, 9, 1–9. https://doi.org/10.3389/fpsyg.2018.01907
Van Viersen, S., Slot, E. M., Kroesbergen, E. H., Van't Noordende, J. E., & Leseman, P. P. M. (2013). The added value of eye-tracking in diagnosing dyscalculia: A case study. Frontiers in Psychology, 4, 679. https://doi.org/10.3389/fpsyg.2013.00679
Vaughn, S., & Fuchs, L. S. (2003). Redefining learning disabilities as inadequate response to instruction: The promise and potential problems. Learning Disabilities Research & Practice, 18(3), 137-146. https://doi.org/10.1111/1540-5826.00070
Vellutino, F. R., Fletcher, J. M., Snowling, M. J., & Scanlon, D. M. (2004). Specific reading disability (dyslexia): What have we learned in the past four decades? Journal of Child Psychology and Psychiatry, 45(1), 2–40. https://doi.org/10.1046/ j.0021-9630.2003.00305
Willburger, E., Fussenegger, B., Moll, K., Wood, G., & Landerl, K. (2008). Naming speed in dyslexia and dyscalculia. Learning and Individual Differences, 18(2), 224–236. :10.1016/j.lindif.2008.01.003
Wilkey, E. D., Pollack, C., & Price, G. R. (2020). Dyscalculia and typical math achievement are associated with individual differences in number-specific executive function. Child Development, 91(2), 596-619. https://doi.org/10.1111/cdev.13194
World Health Organization. (2018). International classification of diseases for mortality and morbidity statistics (11th Revision). Retrieved from https://icd.who.int/browse11/l-m/en
Zhao, Y., Castellanos, F. X. (2016). Annual research review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders - promises and limitations. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 57, 421–439. https://doi.org/10.1111/jcpp.12503

Keywords

Mathematical Learning Disabilities, Dyscalculia, Strengths-and-weaknesses, Multidimensional approach

Affiliations

Evelyn H. Kroesbergen

Radboud University, BSI

Marije D. E. Huijsmans

Behavioural Science Institute, Radboud University; Expertis Onderwijsadviseurs [Educational Consultancy]

Tijs Kleemans

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How to Cite

Kroesbergen, E. H., Huijsmans, M. D. E. ., & Kleemans, T. (2022). The Heterogeneity of Mathematical Learning Disabilities: Consequences for Research and Practice. International Electronic Journal of Elementary Education, 14(3), 227–241. Retrieved from https://iejee.com/index.php/IEJEE/article/view/1724

Author Biography

Evelyn H. Kroesbergen

Evelyn Kroesbergen is professor of learning disabilities at Radboud University, the Netherlands. She studies the educational needs of children with learning disabilities and gifted children. The focus of her research is on the normal and problematic development of early mathematics and its precursors.

Marije D. E. Huijsmans

Marije Huijsmans has obtained her doctorate on mathematical learning difficulties at the Behavioural Science Institute, Radboud University, the Netherlands. She also works as educational consultant to translate and implement insights from educational research in primary schools.

Tijs Kleemans

Tijs Kleemans is assistant professor of special learning needs at the Behavioural Science Institute, Radboud University, the Netherlands. On the intersection of research, education, and clinical practice, he studies the special learning needs of children in in primary education with a focus on variation in (early) mathematics development.