Developmental dyscalculia is thought to be a specific impairment of mathematics ability. Currently dominant cognitive neuroscience theories of developmental dyscalculia suggest that it originates from the impairment of the magnitude representation of the human brain, residing in the intraparietal sulcus, or from impaired connections between number symbols and the magnitude representation. However, behavioral research offers several alternative theories for developmental dyscalculia and neuro-imaging also suggests that impairments in developmental dyscalculia may be linked to disruptions of other functions of the intraparietal sulcus than the magnitude representation. Strikingly, the magnitude representation theory has never been explicitly contrasted with a range of alternatives in a systematic fashion. Here we have filled this gap by directly contrasting five alternative theories (magnitude representation, working memory, inhibition, attention and spatial processing) of developmental dyscalculia in 9-10-year-old primary school children. Participants were selected from a pool of 1004 children and took part in 16 tests and nine experiments. The dominant features of developmental dyscalculia are visuo-spatial working memory, visuo-spatial short-term memory and inhibitory function (interference suppression) impairment. We hypothesize that inhibition impairment is related to the disruption of central executive memory function. Potential problems of visuo-spatial processing and attentional function in developmental dyscalculia probably depend on short-term memory/working memory and inhibition impairments. The magnitude representation theory of developmental dyscalculia was not supported.

It has been suggested that a simple non-symbolic magnitude comparison task is sufficient to measure the acuity of a putative Approximate Number System (ANS). A proposed measure of the ANS, the so-called “internal Weber fraction” (w), would provide a clear measure of ANS acuity. However, ANS studies have never presented adequate evidence that visual stimulus parameters did not compromise measurements of w to such extent that w is actually driven by visual instead of numerical processes. We therefore investigated this question by testing non-symbolic magnitude discrimination in seven-year-old children and adults. We manipulated/controlled visual parameters in a more stringent manner than usual. As a consequence of these controls, in some trials numerical cues correlated positively with number while in others they correlated negatively with number. This congruency effect strongly correlated with w, which means that congruency effects were probably driving effects in w. Consequently, in both adults and children congruency had a major impact on the fit of the model underlying the computation of w. Furthermore, children showed larger congruency effects than adults. This suggests that ANS tasks are seriously compromised by the visual stimulus parameters, which cannot be controlled. Hence, they are not pure measures of the ANS and some putative w or ratio effect differences between children and adults in previous ANS studies may be due to the differential influence of the visual stimulus parameters in children and adults. In addition, because the resolution of congruency effects relies on inhibitory (interference suppression) function, some previous ANS findings were probably influenced by the developmental state of inhibitory processes especially when comparing children with developmental dyscalculia and typically developing children.

We determined how various cognitive abilities, including several measures of a proposed domain‐specific number sense, relate to mathematical competence in nearly 100 9‐year‐old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are phonological processing, verbal knowledge, visuo‐spatial short‐term and working memory, spatial ability and general executive functioning. The model was highly specific to predicting arithmetic performance. There were no strong relations between mathematical achievement and verbal short‐term and working memory, sustained attention, response inhibition, finger knowledge and symbolic number comparison performance. Non‐verbal intelligence measures were also non‐significant predictors when added to our model. Number sense variables were non‐significant predictors in the model and they were also non‐significant predictors when entered into regression analysis with only a single visuo‐spatial WM measure. Number sense variables were predicted by sustained attention. Results support a network theory of mathematical competence in primary school children and falsify the importance of a proposed modular ‘number sense’. We suggest an ‘executive memory function centric’ model of mathematical processing. Mapping a complex processing network requires that studies consider the complex predictor space of mathematics rather than just focusing on a single or a few explanatory factors.

Technology is omnipresent in our rapidly changing digital world. Capitalising on these technologies is paramount for education systems to support a modern workforce. This study presents a review of 10 countries, highlighting how different public education systems have integrated digital technologies for teaching and learning. These education systems were selected based on their high performance and continuous improvement in international assessments. Four main themes emerged as key areas of focus from our analysis: improved and enhanced teaching and learning; digital maturation, including tackling the first and second digital divide; data-driven decision making and evidence-based education; and AI in education. Our findings will help benchmark current approaches and uses of digital teaching and learning, including perceived challenges and opportunities that can be used to inform the development and implementation of digital education policies.

Self-regulated learning has been shown to have a positive and long-lasting impact on students’ academic development, employability and career progression. Emotions, motivation and metacognition play an important role in students’ ability to monitor and regulate their learning, particularly when studying and engaging with Science, Technology, Engineering and Mathematics content. In this study, we investigated motivational, emotional and cognitive factors involved in self-regulated learning and their role in mathematics learning. Specifically, we analysed the impact of mathematics anxiety and self-regulated learning on mathematical literacy using the Australian subset of Programme for International Student Assessment 2012. Mathematics anxiety is a barrier to mathematical learning and is thought to hinder students’ engagement and the efficiency of their metacognitive processes. Using structural equation modelling, we showed that instrumental motivation and self-concept affect mathematics anxiety, which in turn negatively impacts mathematical literacy by affecting perseverance and self-efficacy. We consider the practical implications of our results and discuss how interventions to reduce students’ mathematics anxiety will allow for the development and/or improvement of self-regulated learning skills in mathematics.