Figures
Abstract
Background
This research investigated whether there was a significant change in the visuospatial working memory of children who underwent abacus training.
Method
A quasi-experimental research design with a quantitative approach was employed for the study. Ninety (90) children were recruited as the experimental group and one hundred (100) children as the control group. The experimental group participated in abacus training as part of their extracurricular activities at school. A questionnaire assessing visuospatial memory was administered to both groups before and after the training.
Citation: Ansah EE, Nyarko NY, Kumador DK, Owusu-Bempah J, Mahama S (2025) Visuospatial working memory of abacus trained and untrained children. PLoS One 20(6): e0325525. https://doi.org/10.1371/journal.pone.0325525
Editor: Carlos Tomaz, University Ceuma, BRAZIL
Received: February 28, 2025; Accepted: May 14, 2025; Published: June 11, 2025
Copyright: © 2025 Ansah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The abacus is a tool used to perform basic arithmetic operations in various number systems [1]. It consists of vertical rods on which beads move up and down and a beam that divides the upper and lower portions. The beads on the abacus represent numbers in a visuospatial format, which facilitates mental arithmetic [2]. Abacus users who have been trained for some time acquire abacus-based mental calculation skills and can perform fast and accurate calculations by manipulating an imaginary abacus in their minds. Research has found that the aspect of memory that facilitates this fast and accurate mental calculation is the visuospatial working memory [3–5], an aspect of cognition and knowledge that enables this mental ability over time and practice [6–8].
Visuospatial working memory (VSWM)
Visuospatial working memory is the ability to hold and process an object’s spatial information and location in the mind, an essential component of working memory and used for many daily tasks [9]. As a component of working memory, VSWM is in control of the recall of stimuli with visual and spatial interaction, as well as retaining and manipulating such information [10]. Assumed to be responsible for processing and the short-term storage of visual and spatial information [11,12], VSWM divides its functions into active and passive functions [13]. The passive functions refer to visuospatial information being stored for a short term and are assumed to comprise two separate storage components: storage of simultaneous visuospatial information, such as colour, shape and size, while the other storage is for visuospatial sequential information, such as movement sequences. On the other hand, the active functions denote the processing functions that can also be characterised as central executive functions [14–18].
VSWM, as a multiple-component cognitive system, comprises a central executive and two sub-systems: the phonological loop and the visuospatial sketchpad. The phonological loop is known to be involved in the processing and holding of verbal information, while the visuospatial sketchpad is needed in processing and holding visuospatial information [19]. The acquisition of VSWM skills facilitates letter/number recognition, reading, writing and math for young children and involves the ability to remember shapes and colours and their locations and movements [20,21]. This skill of VSWM helps to facilitate abacus mental arithmetic, with speed and accuracy.
Abacus training
The Abacus is a traditional device used to facilitate arithmetic operations and represents numbers by the visuospatial locations of beads. It is commonly used in Asian countries to facilitate arithmetic operations, namely addition, subtraction, multiplication, division and root calculations and has gone through quite a few changes from its earliest form as a sand table with pebbles as counters into its current design with beads that move on rods [22]. The most widely used abacus in the world is the soroban [23], which has two main parts: the upper part, also known as “heaven beads”, and the lower part, also called “earth beads”. The heaven beads have a value of five, while the earth beads have a value of one bead each [24]. The representation of numbers in a visuospatial format makes it easier to use for basic operations as well as the extraction of square and cube roots [25].
Some individuals can train and use the abacus to perform arithmetic calculations mentally in a fast but accurate manner. This technique of mentally using the abacus is known as Abacus-based Mental Calculations (AMC). Abacus learners skilled in performing mental calculations with speed and accuracy not only employ the use of a physical abacus but also manipulate an imaginary abacus in their mind [26]. This AMC skill is acquired through intensive training over a period, during which learners over time and with training move from operating beads on a physical abacus to manipulating only imaginary abacus beads in their minds with speed and accuracy by moving fingers in the air. AMC is an advanced technique learned by abacus users that enables them to visualise the physical abacus and perform fast and accurate mental calculations after consistently practising for a period [23].
Relationship between VSWM and abacus training
Earlier research has indicated that math abilities play a significant role in one’s academic success [27], career aspirations [28,29], judgment and decision-making [30], market and non-market outcomes [30,31]. These skills are a factor of executive function, composed of working memory and task switching [32,33]. Working memory refers to the maintenance and manipulation of goal-directed information over short periods [34]. Working memory is assumed to be formed by a central executive control system that monitors two independent subsystems: the visuospatial sketchpad or visuospatial working memory for spatial processing and the phonological loop for non-spatial, mostly linguistic information processing [35].
Studies on visuospatial working memory have proposed that the usage of the storage and manipulation processes of visuospatial working memory is a visuospatial strategy, which is the basis of Abacus-based mental calculation [3–5]. Further studies have revealed that although the orthodox arithmetic operation employs brain regions related to the phonological working memory and other language-related areas [36], AMC engages brain networks that largely overlap with the primary neural substrate of VSWM [4,5,37].
Mental skills training enhances brain plasticity, particularly in functional brain activation, connectivity, and anatomy [38,39]. Several studies indicate that Arithmetic Mental Calculation (AMC) promotes arithmetic literacy and improves cognitive abilities [40,41]. In this context, Wang et al. in 2015 [42] found that 7-year-old children who learned AMC performed better in math compared to their peers in the control group, particularly in arithmetic and visual-spatial domains. Further, Wang et al. in 2019 [8] demonstrated that long-term AMC not only enhances arithmetic ability but also improves Visuospatial Working Memory (VSWM) performance in children. They attributed this improvement to functional changes in the frontal, parietal, and occipital areas of the brain, highlighting the significant role of the middle frontal region in transferring gains from AMC training to VSWM. In 2016, Dong et al. [43] concluded that the impact of AMC training on VSWM might be due to more efficient execution of VSWM-related cognitive processes facilitated by optimising neural resources, especially in visuospatial areas. During calculation, the visuospatial sketchpad acts as a mental writing board for encoding, retaining, and manipulating information [44]. Supporting this concept, researchers have found that the visuospatial sketchpad significantly correlates with and predicts children’s arithmetic development [45,46]. Additionally, Syväoja et al. in 2021 [47] showed a moderate association between VSWM and math competence, motor skills, and various other measures of cognitive functioning in students from grades 6–9 in their studies.
Aim
Research indicates that abacus use for mental calculations is prevalent in Asian nations, where users often excel in mental arithmetic compared to their Western counterparts [48]. Despite evidence of the benefits of abacus training, empirical data on its impact in countries, such as Ghana, remains scarce. This paper evaluates the visuospatial working memory of children trained in abacus versus those who are untrained, hypothesising a significant improvement in the former group.
Methods
Respondents and procedure
Respondents were purposively sampled from four schools in New Achimota, a suburb of Achimota township in the Greater Accra region of Ghana. The study employed a quasi-experimental design conducted over four months, from June to September 2021, with a sample of one hundred children from primary 4 to primary 6. The sample size for the study was determined by the use of the Yamane [49] formula for a known population:
where ‘n’ and ‘N’ are the sample and population sizes, respectively. The letter ‘e’ is the level of precision (Isaac, 2003).
In the present study, the total number of school children considered, ‘N’, was 420, and ‘e’ was estimated at 0.05.
Therefore, the sample size, .
Following that, the researcher selected a sample size of 200 children for the investigation, including an experimental group of fifty children each receiving abacus training at two schools and a control group of fifty children each from two schools without abacus training. Ten children from the experimental group dropped out during the study. Written consent was obtained from schools, parents and participants. Both control and experimental groups received the Ghana Education Service’s ‘Standard-Based Curriculum (SBC)’, which is the standard for all basic schools in Ghana. The SBC, started in 2019, emphasises reading, writing, arithmetic, and creativity as predicates for the development of 21st-century skills, including critical thinking and problem-solving [50]. The children, after 6 years of basic school and 3 more years of junior high school, take the national Basic Education Certificate Examination (BECE).
The experimental group, in addition to the regular school curriculum over the course of the 4 months, received an additional two hours of weekly abacus training. No prior cognitive tests and assessments for disabilities or learning difficulties were carried out since the groups received the same SBC curriculum and were considered equivalent in all aspects, with the only difference being the abacus training. Only the tests mentioned below were used in subsequent analysis and results; no classwork or other performance measures were considered. The tests used were administered in the participants’ classrooms within thirty minutes at the beginning and end of the four-month training. The Ethical Committee for Basic and Applied Sciences at the University of Ghana, Legon, reviewed and approved the ethical considerations of the study (research protocol code ECBAS 032/20–21). Respondent ages ranged from 9 to 11 years, with a mean age of approximately 10.
Inclusion and exclusion criteria for experimental and control groups
For the experimental group, the inclusion criteria were: (1) children in the target age in classes, primary 4, 5, and 6, children who took part in the abacus training regularly for a minimum of 4 months, because it takes three to four months to complete the basics as confirmed by Vasuki [51], (2) children whose parents gave and signed the consent to satisfy ethical requirements and (3) children who assented to take part in the study. The exclusion criteria were: (1) children who dropped out of the abacus program during the training and (2) children who joined the abacus program in the middle of the study period, because the student may not have fully grasped all the basic level skills.
For the control group, children who met all the three inclusion criteria were selected: (1) children in the target age in primary (levels 4, 5, and 6) who did not take part in the abacus training, and (2) children whose parents gave and signed the consent to satisfy ethical requirements, (3) children who assented to take part in the study. The exclusion criteria were (1) children who joined the class in the middle of the term so did not fulfil the four-month requirement. This is also important for equivalence between the two groups and (2) children who dropped out of school during the study period. The background characteristics of the respondents are shown in Table 1.
Measures
Raven’s colored standard progressive matrices (RCPM).
Raven’s Colored Progressive Matrices is a standardised test for visuospatial perception, which requires participants to match a target item to a corresponding pattern [52]. The test consists of three sub-tests (A, AB, and B), each containing twelve (12) items. Respondents are presented with coloured matrices, each featuring one missing part, from which they must select the correct option out of six. The sub-tests, totaling thirty-six (36) items, are designed in increasing order of difficulty, enabling respondents to employ observation and analytical reasoning strategies to complete the missing matrices. Specifically, Set A assesses pattern recognition, Set AB evaluates spatial perception, and Set B measures abstract thinking. Previous studies utilising Raven’s Matrices in Ghana reported a Cronbach’s alpha of 0.79 [53], while the current study yielded an alpha of 0.86.
Digit memory test.
The digit memory assessment is evaluated for both forward and backward recall of digit sequences, with the forward recall allowing for a maximum of nine digits and the backward recall permitting a maximum of eight digits [54]. According to Ryan and Lopez [55], forward-digit recall assesses auditory attention and sequencing, while backward-digit recall examines mental tracking, short-term memory, and visuospatial imagery. Participants are required to recall a series of numbers presented to them, and the aggregate count of correctly recalled digit sequences from both forward and backward spans is used to determine the total correct score. The Cronbach’s alpha for the current sample was reported to be 0.74
Letter cancellation test (LCT).
The letter cancellation test is a paper and pencil test with rows of letters randomly interspersed with a designated target letter and requires learners to scan, locate and cross out the target letters. This test assesses selective attention, concentration and visuospatial scanning abilities [56,57]. Performance was scored according to the number of correct target letters crossed out [58]. The Cronbach’s alpha obtained for the current sample was 0.53.
Results
Respondents’ overall performance on the three tests
The sum of respondents’ scores for each of the three tests, for both pre and post-test, was grouped into poor, low, average and high ranges, as shown in Table 2.
Respondents’ performance on Raven’s Colored Progressive Matrices Test (RCPM)
The total scores of the RCPM test 36 were divided by three (3) intervals and used to create ranges, namely, low, average and high ranges (Table 3). For the experimental group, there was a 10% decrease in posttest results for those who had average scores. There was a 7.8% increase in those who had high scores. The control group, on the other hand, showed a 6% decrease in the average score and an 8% increase in those with high scores.
Respondents’ performance on the Digit Memory Test (DMT)
The total scores of DMT 30 were divided by three (3) intervals and used to create ranges, which were designated as low, average and high in Table 4. There was an improvement in the low score category of the experimental group with a 10% decrease at posttest as compared to the control group, which remained unchanged. At posttest, the experimental group saw an increase of 7.7% at the average score level and 2.3% at the high score level, which means that progress was made at the end of the four months of research. Inversely, the control group saw no changes at both the average and high scores levels since the number hence percentages remained the same.
Respondents’ performance on the Letter Cancellation Test (LCT)
The results showed that the performance of the experimental and control groups on the Letter Cancellation Test (LCT) did not differ in any meaningful way between the pretest and posttest across the three categories, as presented in Table 5.
Difference between the visuospatial working memory of abacus-trained and untrained schoolchildren
To determine whether there was a statistically significant difference in the means of the experimental and control groups after four months, an independent sample t-test was conducted (Table 6). The results showed a significant difference in the experimental group with a p-value of 0.000. However, they were not significant for the control group (p = 0.09). Therefore, the hypothesis, suggesting a significant change in visuospatial working memory after an abacus training, was confirmed, albeit with small effect sizes [59,60]. The difference in means for visuospatial working memory, as measured by RCPM (VSWMRCPM), was 1.63 (p = 0.45) for the experimental group and 1.27 (p = 0.45) for the control group. Meanwhile, the mean difference for visuospatial working memory as measured by DMT (VSWMDMT) was 0.88 (p = 0.001) for the experimental group and 0.01 (p = 0.58) for the control group.
Discussion
This paper presents a thorough investigation of the effects of abacus training on school-aged children’s visuospatial working memory (VSWM), with a specific focus on performance between those who had four-month abacus training and those who did not. The findings demonstrated statistically significant improvements in performance on Raven’s Colored Progressive Matrices (RCPM) across the experimental and control groups, suggesting that participants from both cohorts experienced enhanced capacities for abstract reasoning. This enhancement was particularly evident in their ability to recognise relationships within matrix puzzles and to identify missing components during post-test evaluations.
These results resonate with prior research, including the work conducted by Tandoh et al. [61], which recorded similar performance metrics among school-aged children (ages 9–12) from disparate communities in eastern Ghana. Notably, significant divergences were observed in the Digit Memory Test (DMT), where the experimental group exhibited pronounced enhancements in the recall of digits in both forward and backward sequences, clearly surpassing the performance of the control group. Such improvements can be attributed to the distinctive cognitive strategies employed by learners engaged in abacus training, as articulated by Bhaskaran et al. [62]. This research posits that learners can conceptualise numbers on an imaginary abacus, allowing them to manipulate numerical relationships mentally. This indicates the development of superior recall abilities compared to peers who did not participate in abacus training.
Moreover, it is crucial to acknowledge that both groups demonstrated commendable performance on the letter cancellation test, thereby indicating that the benefits of cognitive training transcend specific memory tasks. Overall, this study highlights the potential advantages of integrating abacus training into educational curricula to enrich cognitive skills and support academic achievement among young learners. Such findings provide a compelling argument for exploring and integrating innovative pedagogical methodologies that could significantly influence cognitive development in children.
Statistical analysis utilising independent sample t-tests showed general improvements across both groups following the 4-month training period. However, comparisons indicated a significant mean change in the experimental group alone. The difference in means for visuospatial working memory, as measured by RCPM, yielded a non-significant result for both groups. This finding implies that the experimental group demonstrated a marginal improvement in their ability to perceive spatial arrangements and engage in abstract problem-solving within matrix contexts compared to the control group. Conversely, the difference in means regarding visuospatial working memory, as assessed by DMT, was highly significant in favour of the experimental group compared to the control group. The components of the Digit Memory Test—auditory sequencing, mental tracking, and visuospatial imaging—demonstrated a marked increase in these cognitive skills within the experimental group relative to their peers.
Supporting these findings, Dong et al. [43] noted significant memory spans from pretest to posttest in the abacus group, attributing improvements to the necessity during mental arithmetic exercises to retain an increasing quantity of beads while simultaneously utilising both visuospatial and phonetic representations of numbers. This dual cognitive engagement facilitates enhanced listening and recall capabilities in the digit memory assessment.
When comparing the difference in means of visuospatial working memory as evaluated by the Letter Cancellation Test (VSWMLCT), it was evident that the experimental group exhibited significantly greater performance than the control group. The consistent practice of manipulating physical beads on an abacus engages the learners’ visuospatial working memory by forming mental images of the abacus alongside the positioning and movement of beads and rods. Over time, as learners master physical abacus usage, they cultivate a mental model of an imaginary abacus that can be visualised and manipulated to derive computational results.
Participants adeptly listen to numerical inputs for calculations, simulate movement on the imaginary abacus, and rely on their visuospatial working memory to articulate answers swiftly and accurately [62]. Wang [2] expounded on this notion by stating that the representation of the abacus in a visuospatial framework enables learners to execute mental arithmetic using an imagined abacus. This understanding elucidates why nearly all differences in means for the experimental group were statistically significant. At a p-value of 0.000 (p < .01), the overall mean differences, aggregating results from all three tests, were significantly different for the experimental group, underscoring that after a 4-month intervention period, abacus training substantially enhanced the visuospatial working memory of school children [38,39,43,60].
Conclusion, implications and limitations
Drawing from the study’s findings, it can be concluded that training children to use the abacus for mental arithmetic enhances their calculation skills and significantly but marginally boosts their visuospatial working memory. Although the duration of the training was limited to a specific timeframe, the observable improvements in children’s mathematical abilities suggest that even short-term exposure to abacus training can yield some cognitive benefits. This reinforces the notion that such educational techniques possess considerable potential for enriching learning environments, particularly as they provide an engaging method to enhance cognitive functions among young learners.
In terms of implications, the findings from this study provide empirical evidence that is relevant for schools, parents and other stakeholders who are seeking effective methods for math learning and positive, longer-term learning outcomes. This study provides evidence, albeit basic and short-term, on the potential positive impact of abacus training on the VSWM of school-aged children, which can stimulate further interest and research. Furthermore, it is essential to note that the study primarily examined basic abacus training, indicating a notable gap in existing research regarding the long-term impacts and effectiveness of more advanced abacus use. Future research in this area could greatly benefit from a larger sample size and a longitudinal approach. Such an approach would involve participants undergoing comprehensive abacus training over an extended period, perhaps several months or even years. This could help ascertain the sustained cognitive benefits of abacus training, its generalizability and its effectiveness across various age groups and learning environments. Also, future studies could look at how other non-human learning-support artefacts and models, such as computing, gaming, and artificial intelligence, and culturally sensitive games such as ‘Ghanaian draught or checkers’, ‘ludo’ and ‘ampe’ could benefit the development of VSWM in school-aged children.
The methodology, although robust, does not provide information on how abacus training can be more seamlessly integrated into the regular school curriculum without compromising time for other pursuits. By building upon these initial findings, researchers are encouraged to formulate more nuanced strategies for integrating abacus training into school curricula. Such enhancements could promote the development of children’s cognitive skills more effectively. Comprehensive studies exploring diverse methodologies and frameworks for abacus instruction might lead to a robust understanding of its role in fostering a more profound cognitive skill set among children, thereby shaping future educational practices.
Acknowledgments
We would like to thank the participating schools and children for being part of this study.
References
- 1. Brueckler FM, Matic I. The power and the limits of the abacus. Mathematica Pannonica. 2011;27:25–48.
- 2. Wang C. A review of the effects of abacus training on cognitive functions and neural systems in humans. Front Neurosci. 2020;14:913.
- 3. Tanaka S, Michimata C, Kaminaga T, Honda M, Sadato N. Superior digit memory of abacus experts: an event-related functional MRI study. Neuroreport. 2002;13(17):2187–91. pmid:12488794
- 4. Hanakawa T, Honda M, Okada T, Fukuyama H, Shibasaki H. Neural correlates underlying mental calculation in abacus experts: a functional magnetic resonance imaging study. Neuroimage. 2003;19(2 Pt 1):296–307. pmid:12814580
- 5. Chen F, Hu Z, Zhao X, Wang R, Yang Z, Wang X, et al. Neural correlates of serial abacus mental calculation in children: a functional MRI study. Neurosci Lett. 2006;403(1–2):46–51. pmid:16697526
- 6. Ashkenazi S, Rosenberg-Lee M, Metcalfe AWS, Swigart AG, Menon V. Visuo-spatial working memory is an important source of domain-general vulnerability in the development of arithmetic cognition. Neuropsychologia. 2013;51(11):2305–17. pmid:23896444
- 7. Allen K, Higgins S, Adams J. The relationship between visuospatial working memory and mathematical performance in school-aged children: a systematic review. Educ Psychol Rev. 2019;31:509–31.
- 8. Wang C, Xu T, Geng F, Hu Y, Wang Y, Liu H, et al. Training on abacus-based mental calculation enhances visuospatial working memory in children. J Neurosci. 2019;39(33):6439–48.
- 9. McAfoose J, Baune BT. Exploring visual-spatial working memory: a critical review of concepts and models. Neuropsychol Rev. 2009;19(1):130–42. pmid:18814035
- 10. Zimmer HD. Visual and spatial working memory: from boxes to networks. Neurosci Biobehav Rev. 2008;32(8):1373–95. pmid:18603299
- 11.
Baddeley AD. Human memory: theory and practice. Psychology Press; 1997.
- 12.
Baddeley AD, Logie RH. Working memory: The multiple-component model. In: Miyake A, Shah P, editors. Models of working memory: mechanisms of active maintenance and executive control. New York: Cambridge University Press; 1999: 28–61.
- 13. Mammarella N, Cornoldi C, Donadello E. Visual but not spatial working memory deficit in children with spina bifida. Brain Cogn. 2003;53(2):311–4.
- 14.
Logie RH, Marchetti C. Visuo-spatial working memory: visual, spatial or central executive? Advances in Psychology. Amsterdam: North-Holland; 1991: 105–15.
- 15.
Logie RH. Visuo-spatial working memory. Hove: Psychology Press; 2014.
- 16. Logie RH, Pearson DG. The inner eye and the inner scribe of visuo-spatial working memory: evidence from developmental fractionation. European J Cognitive Psychol. 1997;9(3):241–57.
- 17. Pazzaglia F, Cornoldi C, De Beni R. Differenze individuali nella rappresentazione dello spazio e nell’abilità di orientamento: presentazione di un questionario autovalutativo. G Ital Psicologia. 2000;27(3):627–40.
- 18. Pickering SJ, Gathercole SE, Hall M, Lloyd SA. Development of memory for pattern and path: further evidence for the fractionation of visuo-spatial memory. Quarterly J Experimental Psychol Sec A. 2001;54(2):397–420.
- 19. Baddeley AD. Developing the concept of working memory: the role of neuropsychology1. Arch Clin Neuropsychol. 2021;36(6):861–73. pmid:34312672
- 20. Fanari R, Meloni C, Massidda D. Visual and spatial working memory abilities predict early math skills: a longitudinal study. Front Psychol. 2019;10:2460.
- 21. Li Y, Geary DC. Children’s visuospatial memory predicts mathematics achievement through early adolescence. PLoS One. 2017;12(2):e0172046. pmid:28192484
- 22.
Kim S. A comparative study of Korean abacus users’ perceptions and explanations of use: Including a perspective on Stigler’s mental abacus. New York: Columbia University; 2016.
- 23. Srinivasan M, Wagner K, Frank MC, Barner D. The role of design and training in artifact expertise: the case of the abacus and visual attention. Cogn Sci. 2018;42 Suppl 3:757–82. pmid:29687463
- 24. Alhassan S, Yinyeh MO, Armah GK. Abacus system for Ghanaian basic schools. Int J Computer Appl. 2018;180(50):0975–8887.
- 25. Sarvari ER, Nasiri H, Abasi P. The impact of abacus on mathematics learning through teachers’ innovative behaviour in elementary schools of Iran. History. 2015;7(24).
- 26. Frank MC, Barner D. Representing exact number visually using mental abacus. J Exp Psychol Gen. 2012;141(1):134–49. pmid:21767040
- 27. Hafer RW. Do entry-level math skills predict success in principles of economics? J Econ Econ Educ Res. 2002;3(1):3–11.
- 28. Shapka JD, Domene JF, Keating DP. Trajectories of career aspirations through adolescence and young adulthood: Early math achievement as a critical filter. Educational Research Evaluations. 2006;12(4):347–58.
- 29.
Shapka JD, Domene JF, Keating DP. Gender, mathematics achievement, and the educational and occupational aspirations of Canadian youth. In: Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences. American Psychological Association; 2008: 27–54. https://doi.org/10.1037/11706-001
- 30. Joensen JS, Nielsen HS. Is there a causal effect of high school math on labour market outcomes? J Hum Resour. 2009;44(1).
- 31. Koedel C, Tyhurst E. Math skills and labour-market outcomes: evidence from a resume-based field experiment. Econ Educ Rev. 2012;31(1):131–40.
- 32. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41(1):49–100. pmid:10945922
- 33. Grenell A, Carlson SM. Individual differences in executive function and learning: The role of knowledge type and conflict with prior knowledge. J Experimental Child Psychol. 2021:105079.
- 34. Baddeley AD, Andrade J. Working memory and the vividness of imagery. J Exp Psychol Gen. 2000;129(1):126–45. pmid:10756490
- 35. Baddeley A. Working memory: the interface between memory and cognition. J Cogn Neurosci. 1992;4(3):281–8. pmid:23964884
- 36. Dehaene S, Spelke E, Pinel P, Stanescu R, Tsivkin S. Sources of mathematical thinking: behavioural and brain-imaging evidence. Science. 1999;284(5416):970–4.
- 37. Ku MJH, Sommer AT, Cheuk LW, Zwierlein MW. Revealing the superfluid lambda transition in the universal thermodynamics of a unitary Fermi gas. Science. 2012;335(6068):563–7. pmid:22245739
- 38. Hu J-Y, Baussi O, Levine A, Chen Y, Schacher S. Persistent long-term synaptic plasticity requires activation of a new signaling pathway by additional stimuli. J Neurosci. 2011;31(24):8841–50. pmid:21677168
- 39. Li Y, Chen F, Huang W. Neural plasticity following abacus training in humans: a review and future directions. Neural Plast. 2016;2016:1213723. pmid:26881089
- 40. Jones DK, Knösche TR, Turner R. White matter integrity, fibre count, and other fallacies: the do’s and don’ts of diffusion MRI. Neuroimage. 2013;73:239–54.
- 41. Huang J, Du F, Yao Y, Wan Q, Wang X-S, Chen F-Y. Numerical magnitude processing in abacus-trained children with superior mathematical ability: an EEG study. J Zhejiang Univ Sci B. 2015;16(8):661–71. pmid:26238541
- 42. Wang C, Geng F, Yao Y, Weng J, Hu Y, Chen F. Abacus training affects math and task switching abilities and modulates their relationships in Chinese children. PLoS One. 2015;10(10):e0139930. pmid:26444689
- 43. Dong S, Wang C, Xie Y, Hu Y, Weng J, Chen F. The impact of abacus training on working memory and underlying neural correlates in young adults. Neuroscience. 2016;332:181–90.
- 44. Heathcote D. The role of visuo-spatial working memory in the mental addition of multi-digit addends. Current Psychology Cognitive. 1994;13(2):207–45.
- 45. Berg DH. Working memory and arithmetic calculation in children: the contributory roles of processing speed, short-term memory, and reading. J Exp Child Psychol. 2008;99(4):288–308. pmid:18242631
- 46. Holmes EA, Geddes JR, Colom F, Goodwin GM. Mental imagery as an emotional amplifier: application to bipolar disorder. Behav Res Ther. 2008;46(12).
- 47. Syväoja HJ, Kankaanpää A, Hakonen H, Inkinen V, Kulmala J, Joensuu L, et al. How physical activity, fitness, and motor skills contribute to math performance: Working memory as a mediating factor. Scand J Med Sci Sports. 2021;31(12):2310–21. pmid:34519073
- 48. Molavi P, Karimollahi M, Sadeghie-Ahary S, Taghizadeh E, Elhameh N. Social deprivation in family members of patients with schizophrenia. European Psychiatry. 2015;30(S1):1.
- 49.
Yamane Y. Mathematical formulae for sample size determination. [Online]. 1967.
- 50. Asante G, Arhin D, Essien N, Bentil S, Asibey G. Implementation of the standard-based curriculum: an overview of pre-tertiary curriculum in Ghana (1951–2019). Open Access Library Journal. 2024;11:1–24.
- 51.
Vasuki K. The impact of abacus learning of mental arithmetic on cognitive abilities of children. Madras: University of Madras; 2013.
- 52. Van Herwegen J, Farran E, Annaz D. Item and error analysis on Raven’s Coloured progressive matrices in Williams syndrome. Res Dev Disabilities. 2011;32(1):93–9.
- 53.
Wechsler D. Wechsler Adult Intelligence Scale--Fourth Edition. PsycTESTS Dataset. American Psychological Association (APA); 2008. https://doi.org/10.1037/t15169-000
- 54.
Ryan JJ, Lopez SJ. Wechsler adult intelligence scale-III. In: Dorfman WI, Hersen M, editors. Understanding psychological assessment. Boston: Springer US; 2001: 19–42.
- 55. Della Sala S, Laiacona M, Spinnler H, Ubezio C. A cancellation test: its reliability in assessing attentional deficits in Alzheimer’s disease. Psychol Med. 1992;22(4):885–901. pmid:1488486
- 56.
Howieson DB, Lezak MD. Separating memory from other cognitive problems. Handbook of Memory Disorders. Baddeley A. 2nd ed. Chichester: Wiley; 2002: 637–54.
- 57. Chino B, Mizuno M, Nemoto T, Yamashita C, Kashima H. Relation between social functioning and neurocognitive test results using the Optional Thinking Test in schizophrenia. Psychiatry Clin Neurosci. 2006;60(1):63–9. pmid:16472360
- 58.
Cohen J. Statistical power analysis for the behavioural sciences. 2nd ed. New York: Routledge; 2013.
- 59. Lenhard W, Lenhard A. Computation of effect sizes. Psychometrika. 2022.
- 60. Wang Y, Geng F, Hu Y, Du F, Chen F. Numerical processing efficiency improved in experienced mental abacus children. Cognition. 2013;127(2):149–58. pmid:23454790
- 61. Tandoh MA, Mills-Robertson FC, Wilson MD, Anderson AK. Nutritional and cognitive deficits of school-age children: A study in helminth-endemic fishing and farming communities in Ghana. Nutrition and Food Science. 2020;50(3).
- 62. Bhaskaran M, Sengottaiyan A, Madhu S, Ranganathan V. Evaluation of memory in abacus learners. Indian J Physiol Pharmacol. 2006;50(3):225–33. pmid:17193893