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Development of a Computerized Assessment Tool for
Mathematics Difficulties for Primary School Students.
Marios A. Pappas1, Fotini Polychroni1, Alexandra Economou1& Athanasios Drigas2
1 Department of Psychology, National and Kapodistrian University of Athens
2 Net Media Lab-Mind & Brain R&D, I.I.T., N.C.S.R. ‘Demokritos’
Correspondence: mpappas@ppp.uoa.gr
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This research is co-financed by Greece and the European
Union (European Social Fund-ESF) through the
Operational Programme «Human Resources
Development, Education and Lifelong Learning» in the
context of the project “Strengthening Human Resources
Research Potential via Doctorate Research” (MIS-
5000432), implemented by the State Scholarships
Foundation (ΙΚΥ)
Early math skills are considered astrong predictor of
students’ later mathematical performance [1] as well as of
general subsequent academic performance [2]. Μathematics
difficulties are associated with specific cognitive processes,
such as working memory, attention regulation and
information retrieval deficits [3]. This study investigates the
cognitive, psychological, and metacognitive variables that
are linked to mathematical achievement in primary-school
students of second and third grade.In particular, the
present study aims to examine the correlation of working
memory, math anxiety, and sustained attention with
mathematical achievement.Another aim of the study is to
investigate the role of executive function, such as inductive
reasoning and problem solving in mathematical
achievement.In addition, this study investigates differences
between second and third graders, as well as gender-based
differences in cognitive and psychological measures.Final
aim is to design a computerized assessment test for the
detection of mathematics difficulties during second and
third grade of primary school.
1. Introduction
The design of the assessment tool should be based on the
cognitive profile of students with mathematics difficulties.
For this reason we designed the Mathematical Achievement
Test, a curriculum-based assessment test which will be the
basis for the computerized assessment tool for mathematics
difficulties.This assessment test along with other
psychometric tools were used at the pilot study.
Sample
Materials
Mathematical Achievement Test
Test of Attention for Elementary School Students [4]
Working Memory Rating Scale [5]
Executive Function Test for Elementary School Students [6]
Mental Arithmetic Test (WISC-III) [7]
Abbreviated Math Anxiety Scale [8]
2. Method
3. Results
F Change
Model 1 .292 .284 .292
Mental Arithmetic
Model 2 .378 .364 .086
Mental Arithmetic
Sustained Attention
Model 3 .424 .404 .046
Mental Arithmetic
Sustained Attention
Working Memory
4. Discussion
The results of our study indicated that mathematical achievement of second and
third graders is positively correlated with students’ mental arithmetic ability,
sustained attention, and working memory.These results are consistent with the
findings of extant literature in the field of mathematical cognition.Furthermore,
as revealed by the multiple regression analysis, mental arithmetic ability,
sustained attention, and working memory could be used as predictors for an
important portion of the overall variance of mathematical achievement.
As expected, third graders had ahigher performance on the mathematical
achievement standardized test as compared to second graders and especially in
subtraction, multiplication, and division.These results are consistent with our
previous findings, as these mathematical skills are affected most by working
memory, which expands during childhood.
Students with mathematics difficulties
present low performance at number
awareness, recall of numerical facts,
execution of numerical calculations, as
well as mathematical reasoning.The
need for the development of areliable
and user-friendly tool, which aims at the
early detection of mathematics
difficulties, raises urgent.Moreover,
there is an increasing interest on using
digital educational tools for assessing
and supporting students with learning
disabilities.For this reason, we develop
an online tool which will incorporate
Information and Communication
Technologies for the assessment of
primary school students with
mathematics difficulties.
Year 2 (N=53) Year 3 (N=38)
Measures M SD MSD
Mathematical Skills 22.38 (32) 5.80 27.68 4.11
Counting 3.77 (4) .64 3.63 .67
Addition 2.91 (4) 0.96 3.66 .48
Subtraction 1.61 (4) 1.24 3.05 1.11
Multiplication 2.02 (4) 1.39 3.34 1.14
Division 2.30 (4) 1.55 3.24 1.28
Patterns 3.57 (4) .84 3.87 .41
Number Line 3.38 (4) .90 3.61 .87
Problem Solving 2.83 (4) 1.40 3.29 1.09
Sustained Attention 0.24 0.03 0.26 .04
Inductive Reasoning (Stories) 4.02 (5) 1.07 4.05 .93
Inductive Reasoning (Geometry) 8.08 (12) 2.81 9.63 2.07
Mental Arithmetic 11.06 (30) 2.90 11.79 2.89
Math Anxiety 20.89 5.54 18.24 6.02
Working Memory 8.96 12.90 5.61 9.19
Table 1: Multiple Regression Analysis predicting Mathematical Achievement
Table 2: Descriptive statistics for math measures and cognitive skills in terms of the school grade*
* 0.05 significance level, ** 0.01 significance level, *** 0.001 significance level
* Maximum score for each measure is shown in parenthesis. The optimal score for Math Anxiety & Working Memory is 0.
5. Conclusion
The next stage of this study is the finalization and standardization of the
computerized assessment test for mathematics difficulties (BrainMath)which
will incorporate curriculum based tasks, as well as tasks related to working
memory, sustained attention and inductive reasoning.It is anticipated that
BrainMath will enable accurate and early detection of mathematics difficulties.
BrainMath
Workin g
Memory
Sustained
Attention
Mental
Arithmetic
Ability
Arithmetic
Operations
Pattern
Recognition
Number
Line Sense
Problem
Solving
1. Rodic, M., Cui, J., Malykh, S., Zhou, X., Gynku, E. I., Bogdanova, E. L., ... &Kovas, Y. (2018). Cognition, emotion, and arithmetic in primary school: A cross-cultural investigation.British Journal of
Developmental Psychology,36(2), 255-276.
2. Price, G. R., Mazzocco, M. M., & Ansari, D. (2013). Why mental arithmetic counts:brain activation during single digit arithmetic predicts high school math scores.Journal of Neuroscience,33(1), 156-163.
3. Morgan, P. L., Farkas, G., Hillemeier, M. M., & Maczuga, S. (2016). Who is at risk for persistent mathematics difficulties in the United States?.Journal of learning disabilities,49(3), 305-319.
4. Simos, P., Mouzaki, A., & Sideridis, G. (2007). Test of attention for elementary school students.Athens:Greek Ministry of Education (in Greek)
5. Alloway, T. P., Gathercole, S. E., & Kirkwood, H. J. (2008). Working Memory Rating Scale. London: Pearson Assessment.
6. Simos, P., Mouzaki, A., & Sideridis, G. (2007). Test of Executive Function for Elementary School Students.Athens:Greek Ministry of Education.
7. Georgas, J., Paraskevopoulos, I., Besevegis, E., & Giannitsas, N. (1998). Greek Wechsler Intelligence Scale for Children, WISC-III:Manual.Athens:Ellinika Grammata.(in Greek)
8. Carey, E., Hill, F., Devine, A., & Szűcs, D. (2017). The modified abbreviated math anxiety scale: A valid and reliable instrument for use with children.Frontiers in psychology,8,11.
References