SHORT REPORT
The DeDiMa battery: a tool for identifying students’ mathematical learning profiles
 
More details
Hide details
 
Submission date: 2014-08-15
 
 
Final revision date: 2014-09-19
 
 
Acceptance date: 2014-09-19
 
 
Online publication date: 2014-10-28
 
 
Publication date: 2014-10-28
 
 
Health Psychology Report 2014;2(4):291-297
 
KEYWORDS
TOPICS
ABSTRACT
Background
The DeDiMa battery is designed for assessing students’ mathematical learning profiles, and it has been used to validate a 4-dimensional model for classifying mathematical learning difficulties. The model arises from existing hypotheses in the cognitive psychology and neuroscience literature, while the DeDiMa battery provides a reliable set of mathematical tasks that help to match characteristics of students’ mathematical performances to their more basic learning difficulties.

Participants and procedure
In this report we address the question of how these tools can help sketch out a student’s mathematical learning profile. The participants are 5th and 6th grade students.

Results
We compare the emerging profiles of two students with mathematical learning difficulties (MLD) matched for age, performance on a standardized test, non-verbal IQ, and educational experiences. The profiles are very different.

Conclusions
We believe that this approach can inform the design of individualized remedial interventions for MLD students.
 
REFERENCES (22)
1.
Bartelet, D., Ansari, D., Vaessen, A., & Blomert, L. (2014). Research in Developmental Disabilities Cognitive subtypes of mathematics learning difficulties in primary education. Research in Developmental Disabilities, 35, 657-670.
 
2.
Butterworth, B. (2010). Foundational numerical capacities and the origins of dyscalculia. Trends in Cognitive Sciences, 14, 534-541.
 
3.
Fias, W., Menon, V., & Szucs, D. (2013). Multiple components of developmental dyscalculia. Trends in Neuroscience and Education, 2, 43-47.
 
4.
Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2007). Learning disabilities: From identification to intervention. New York, NY: Guilford Press.
 
5.
Geary, D. C., & Hoard, M. K. (2001). Numerical and arithmetical deficits in learning-disabled children: Relation to dyscalculia and dyslexia. Aphasiology, 15, 635-647.
 
6.
Gebuis, T., & Reynvoet, B. (2011). Generating nonsymbolic number stimuli. Behavior Research Methods, 43, 981-986.
 
7.
Grabner, R. H., & Ansari, D. (2010). Promises and potential pitfalls of a ‘cognitive neuroscience of mathematics learning’. ZDM Mathematics Education, 42, 655-660.
 
8.
Heyd-Metzuyanim, E. (2012). The co-construction of learning difficulties in mathematics-teacher-student interactions and their role in the development of a disabled mathematical identity. Educational Studies in Mathematics, 83, 341-368. DOI: 10.1007/s10649-012-9457-z.
 
9.
Howard-Jones, P. A. (2011). A Multiperspective Approach to Neuro-educational Research. Educational Philosophy and Theory, 43, 24-30.
 
10.
Karagiannakis, G., Baccaglini-Frank, A., & Papadatos, Y. (2014). Mathematical learning difficulties subtypes classification. Frontiers in Human Neuroscience, 8, 57.
 
11.
Karagiannakis, G., & Cooreman, A. (in press). Focused intervention based on a classification MLD model. In: S. Chinn (ed.), The Routledge International Handbook of Dyscalculia and Mathematical Learning Difficulties – Routledge International Handbooks of Education.
 
12.
Karagiannakis, G., Baccaglini-Frank, A., & Roussos, P. (under review). Validation of a model for evaluating mathematical learning difficulties (working title).
 
13.
Kaufmann, L. (2008). Dyscalculia: neuroscience and education. Educational Research, 50, 163-175.
 
14.
Kaufmann, L., Mazzocco, M. M., Dowker, A., von Aster, M., Gobel, S. M., Grabner, R. H., Henik, A., Jordan, N. C., Karmiloff-Smith, A. D., Kucian, K., Rubinsten, O., Szucs, D., Shalev, R., & Nuerk, H.-C. (2013). Dyscalculia from a developmental and differential perspective. Frontiers in Psychology, 4, 516.
 
15.
Koumoula, A., Tsironi, V., Stamouli, V., Bardani, I., Siapati, S., Annika, G., Kafantaris, I., Charalambidou, I., Dellatolas, G., & von Aster, M. (2004). An epidemiological study of number processing and mental calculation in Greek schoolchildren. Journal of Learning Disabilities, 37, 377-388.
 
16.
Lanfranchi, S., Lucangeli, D., Jerman, O., & Swanson, H. L. (2008). Math disabilities: Italian and US perspectives. Advances in Learning and Behavioral Disabilities, 21, 277-308.
 
17.
Mazzocco, M. M. (2008). Defining and Differentiating Mathematical Learning Disabilities and Difficulties. In: D. B. Berch, & M. M. Mazzocco (eds.), Why Is Math So Hard for Some Children? The Nature and Origins of Mathematical Learning Difficulties and Disabilities. Baltimore, MD: Brookes Publishing Company.
 
18.
Panteliadou, S., & Antoniou, F. (2008). Reading Test (in Greek). Greece: National Ministry of Education.
 
19.
Siegler, R. S., & Booth, J. L. (2004). Development of numerical estimation in young children. Child Development, 75, 428-444.
 
20.
Siegler, R. S., & Opfer, J. E. (2003). The development of numerical estimation: evidence for multiple representations of numerical quantity. Psychological Science, 14, 237-243.
 
21.
Thorndike, R. L. (1982). Applied Psychometrics. Boston, MA: Houghton Mifflin.
 
22.
Watson, S. M. R., & Gable, R. A. (2013). Unraveling the Complex Nature of Mathematics Learning Disability: Implications for Research and Practice. Learning Disability Quarterly, 36, 178-187.
 
Copyright: © Institute of Psychology, University of Gdansk This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (https://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
eISSN:2353-5571
ISSN:2353-4184
Journals System - logo
Scroll to top