Dyscalculia in Early Adulthood: Implications for Numerical Activities of Daily Living

Neurobiology of numerical learning

Numerical abilities are complex cognitive skills essential for dealing with requirements of the modern world. Although the brain structures and functions underlying numerical cognition in different species have long been appreciated, genetic and molecular techniques have more recently expanded the knowledge about the mechanisms underlying numerical learning. In this review, we discuss the status of the research related to the neurobiological bases of numerical abilities. We consider how genetic factors have been associated with mathematical capacities and how these link to the current knowledge of brain regions underlying these capacities in human and non-human animals. We further discuss the extent to which significant variations in the levels of specific neurotransmitters may be used as potential markers of individual performance and learning difficulties and take into consideration the therapeutic potential of brain stimulation methods to modulate learning and improve interventional outcomes. The implications of this research for formulating a more comprehensive view of the neural basis of mathematical learning are discussed.

The Intellectual Profile of Adults with Specific Learning Disabilities

Despite growing research on adults with specific learning disabilities (SLDs), evidence concerning their intellectual profile remains scarce. The present study examined the results of the administration of the Wechsler Adult Intelligence Scale-Fourth Edition to 301 adults diagnosed with SLDs and compared them to the results obtained from previous studies with a large sample of children with SLDs. The results showed that: (1) as observed among children, adults with SLDs also presented higher scores in the subtests implying reasoning (associated with the General Ability Index, GAI) and lower scores in the subtests involving working memory and processing speed; (2) the discrepancy between full-scale IQ and the GAI had a good predictive value in discriminating adults with and without SLDs; (3) the four-factor hierarchical structure of intelligence proposed for the general adult population held for adults with SLDs as well, even though there were substantial differences in the loadings and a five-factor structure could be more appropriate; (4) similarities as well as strong differences were present between adults and children with SLDs. In adults, scores on subtests were generally lower, particularly in working memory and processing speed. However, in some cases, scores were equal or even higher (as in the "Similarity" subtest) among adults, meaning that the discrepancy between the full scale and the GAI was accentuated.

Challenges in Understanding Numerical Learning: Editorial for Brain Sciences Special Issue “Neurocognitive Signatures of Math (Learning) across the Lifespan and Their Interrelation with Other Aspects of Cognition and Emotion”

Living in our information- and technology-driven society at the beginning of the 21st century requires the ability to understand and handle numbers not only for a successful career but also for coping with everyday life tasks [...]

Digital games for learning basic arithmetic at home

Many early learners need individualized support when regular teaching is not readily available. Here we present results of a progressive digital game that was played at home rather than under the supervision of the teacher. "NumberBeads" was designed to help low attaining learners, but also typical early learners. The game required learners to construct objects-sets and digits-to match a target object, and was played at home using an online platform. The participants were first-graders (n=140) enrolled in 10 classrooms randomly assigned to two groups. One group played NumberBeads, requiring students to construct solutions in a microworld of sets and digits. Another group played a similar game, NumberChoice, which contained the same elements, sets and digits, but used multiple-choice questions with right/wrong feedback. Results showed that learners using both games were able to complete the game unsupervised at home, but there was greater improvement with NumberBeads especially with learners identified as low attaining. Overall these findings support the feasibility of boosting early numeracy at home using a game designed to help basic numerical competence that requires no teacher supervision, and very little guidance by parents or carers.