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The pattern of gender differences in math and verbal ability may result in females having a wider choice of careers, in both science, technology, engineering, and mathematics (STEM) and non-STEM fields, compared with males. The current study tested whether individuals with high math and high verbal ability in 12th grade were more or less likely to choose STEM occupations than those with high math and moderate verbal ability. The 1,490 subjects participated in two waves of a national longitudinal study; one wave was when the subjects were in 12th grade, and the other was when they were 33 years old. Results revealed that mathematically capable individuals who also had high verbal skills were less likely to pursue STEM careers than were individuals who had high math skills but moderate verbal skills. One notable finding was that the group with high math and high verbal ability included more females than males.

The relative importance of visual-spatial and verbal working memory for mathematics performance and learning seems to vary with age, the novelty of the material, and the specific math domain that is investigated. In this study, the relations between verbal and visual-spatial working memory and performance in four math domains (i.e., addition, subtraction, multiplication, and division) at different ages during primary school are investigated. Children ( N = 4337) from grades 2 through 6 participated. Visual-spatial and verbal working memory were assessed using online computerized tasks. Math performance was assessed at the start, middle, and end of the school year using a speeded arithmetic test. Multilevel Multigroup Latent Growth Modeling was used to model individual differences in level and growth in math performance, and examine the predictive value of working memory per grade, while controlling for effects of classroom membership. The results showed that as grade level progressed, the predictive value of visual-spatial working memory for individual differences in level of mathematics performance waned, while the predictive value of verbal working memory increased. Working memory did not predict individual differences between children in their rate of performance growth throughout the school year. These findings are discussed in relation to three, not mutually exclusive, explanations for such age-related findings.

Some individuals experience more difficulties with math than others, in particular when arithmetic problems get more complex. Math ability, on one hand, and arithmetic complexity, on the other hand, seem to partly share neural underpinnings. This study addresses the question of whether this leads to an interaction of math ability and arithmetic complexity for multiplication and division on behavioral and neural levels. Previously screened individuals with high and low math ability solved multiplication and division problems in a written production paradigm while brain activation was assessed by combined functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). Arithmetic complexity was manipulated by using single-digit operands for simple multiplication problems and operands between 2 and 19 for complex multiplication problems and the corresponding division problems. On the behavioral level, individuals with low math ability needed more time for calculation, especially for complex arithmetic. On the neural level, fNIRS results revealed that these individuals showed less activation in the left supramarginal gyrus (SMG), superior temporal gyrus (STG) and inferior frontal gyrus (IFG) than individuals with high math ability when solving complex compared to simple arithmetic. This reflects the greater use of arithmetic fact retrieval and also the more efficient processing of arithmetic complexity by individuals with high math ability. Oscillatory EEG analysis generally revealed theta and alpha desynchronization with increasing arithmetic complexity but showed no interaction with math ability. Because of the discovered interaction for behavior and brain activation, we conclude that the consideration of individual differences is essential when investigating the neurocognitive processing of arithmetic.

This study aims to improve current understanding of how the relationship between perceived math ability and math achievement may be mediated or moderated by levels of anxiety about math, considering intellectual abilities, gender, and school year. In this study, participants were 2,245 Spanish students (7th to 10th grade). All completed the FennemaSherman Mathematics Attitudes Scales and the Sternberg Triarchic Abilities Test. The main results showed that (i) perceivedcompetence is a potent predictor of achievement (the higher the perceived competence, the better the performance in mathematics), (ii) anxiety about mathematics significantly mediates the relationship between perceived competence and math achievement (although the effect is small), and (iii) levels of anxiety condition the intensity of the effect of perceived competence on math achievement (at high levels of anxiety the effect size of the relationship between perceived competence and achievement is large, whereas at low levels of anxiety the effect is small).

Background Women remain under-represented in high-paying STEM majors. This study seeks to advance understanding of the factors related to students’ decisions to choose STEM majors, with particular attention to gender differences. Prior research has largely examined high school students’ perceptions of math interest and math utility in relation to later STEM enrollment, yielding mixed findings and limited insight into the actual values students consider when selecting a major. This study analyzes college students’ retrospective reflections on their major-selection motivations. This study also examines under-explored factors, such as perceived difficulty of math, exposure to math-teacher gender bias in ninth grade, and use of college career-planning services, while also investigating self-perceptions of math ability to address inconsistencies in previous findings. Using the High School Longitudinal Study of 2009, this study compares women in STEM and non-STEM majors and contrasts the factors related to women’s decisions to choose STEM majors with those of men. Results Self-perception of high math ability, perceived low difficulty of math, and prioritizing a high-income job predict the decision to choose a STEM major for both women and men. The impact of high-income job potential is stronger for women, while job availability significantly predicts STEM choice only among men. Factors such as exposure to math-teacher gender bias in ninth grade, use of college career-planning services, and reasons for choosing a major—such as enjoying courses in a major, doing well in courses in a major, work–life balance, contribution to society, and job availability—are not associated with STEM major choice for either gender. Conclusions These results align with prior research, emphasizing the role of self-confidence in math and the perception of math as a manageable subject in fostering interest in STEM among both women and men. The results also challenge conventional wisdom by revealing that women in STEM value high-income potential as much as—or even more than—men, rather than prioritizing work–life balance or contribution to society in choosing their majors. Future research should longitudinally examine the impact of exposure to math-teacher gender bias and the use of career services on women’s STEM major choices.

Mathematical abilities are essential for an individual, as they predict career prospects among many other abilities. However, little is known about whether neural correlates of arithmetic problem difficulty differ between individuals with high and low math ability. For instance, the difficulty of two-digit addition and subtraction increases whenever a carry or borrow operation is required. Therefore, we systematically investigated the spatial and temporal neural correlates of the carry and borrow effects for high and low performers in a written production paradigm using combined functional near-infrared spectroscopy (fNIRS) and event-related potential (ERP) measurements. Effects of arithmetic difficulty interacted with an individual’s math ability. High performers showed increased frontal activation especially in the left inferior frontal gyrus associated with the carry and borrow effects, whereas low performers did not. Furthermore, high and low performers even differed in their early processing of the borrow effect, as reflected by differences in slow waves at 1000–1500 ms at frontal sites. We conclude that the processing of arithmetic difficulty relies on an individual’s mathematical ability, and suggest that individual differences should be taken into account when investigating mental arithmetic in an ecologically valid assessment.

There is strong evidence that humans can make rough estimates of the numerosity of a set of items, almost from birth. However, as numerosity covaries with many non-numerical variables, the idea of a direct number sense has been challenged. Here we applied two different psychophysical paradigms to demonstrate the spontaneous perception of numerosity in a cohort of young pre-school children. The results of both tasks showed that even at that early developmental stage, humans spontaneously base the perceptual choice on numerosity, rather than on area or density. Precision in one of these tasks predicted mathematical abilities. The results reinforce strongly the idea of a primary number sense and provide further evidence linking mathematical skills to the sensory precision of the spontaneous number sense, rather than to mechanisms involved in handling explicit numerosity judgements or extensive exposure to mathematical teaching.

Math anxiety's negative effects on performance are well-documented. The interplay of math anxiety and mathematical competence regarding later performance is underexplored. We investigated whether math anxiety's detrimental effects on learning depend on previous mathematical competence. Hypothesizing a moderation effect, we expected that trait math anxiety should affect pupils of higher competence to a greater extent than pupils with lesser competence. Based on 8th graders in secondary school, we found the expected interaction of math anxiety and math competence (represented by previous math grade) predicting performance three months later. The interaction of math anxiety and math competence on later performance remained despite controlling for math self-concept and gender (and previous topic-specific performance). The moderation showed differential slopes for the effects of math competence on later performance depending on trait math anxiety: At lower competence levels, math anxiety played a lesser role than for higher competence levels. Later performance was lowest for more competent pupils with higher math anxiety relative to their peers with similar competence levels but lower math anxiety. Although the data imply directionality, our design cannot imply causality. Nevertheless, one interpretation of the results is in line with the notion of greater performance losses over time for more competent pupils with higher levels of math anxiety: the learning progress may be aggravated for those, who have the prerequisite in ability to advance their performance. The optimal development of math capabilities may be compromised by math anxiety; good math abilities and low math anxiety may both be prerequisites for long-term learning success. (ZPID).

Objectives: The Paced Auditory Serial Addition Test (PASAT) is used to assess cognitive status in multiple sclerosis (MS). Although the mathematical demands of the PASAT seem minor (single-digit arithmetic), cognitive psychology research links greater mathematical ability (e.g., algebra, calculus) to more rapid retrieval of single-digit math facts (e.g., 5+6=11). The present study evaluated the hypotheses that (a) mathematical ability is related to PASAT performance and (b) both the relationship between intelligence and PASAT performance as well as the relationship between education and PASAT performance are both mediated by mathematical ability. Methods: Forty-five MS patients were assessed using the Wechsler Test of Adult Reading, PASAT and Calculation Subtest of the Woodcock-Johnson-III. Regression based path analysis and bootstrapping were used to compute 95% confidence intervals and test for mediation. Results: Mathematical ability (a) was related to PASAT (β=.61; p<.001) and (b) fully mediated the relationship between Intelligence and PASAT (β=.76; 95% confidence interval (CI95)=.28, 1.45; direct effect of Intelligence, β=.42; CI95=−.39, 1.23) as well as the relationship between Education and PASAT (β=2.43, CI95=.81, 5.16, direct effect of Education, β=.83, CI95=−1.95, 3.61). Discussion: Mathematical ability represents a source of error in the clinical interpretation of cognitive decline using the PASAT. Domain-specific cognitive reserve is discussed. (JINS, 2016, 22, 375–378)

Regardless of the number of grounded object identification procedures reliant upon still pictures, their application to edge video information through the system hypothesis faces two drawbacks: (1) the deficit of computational throughput in view of abundance across picture follows or through the shortfall of usage of a transient and spatial relationship for parts across the edges of the image, and (ii) a shortfall of energy for authentic conditions, e.g., muddled turn of events and impediment. Since the Visual Recognition challenge has been by and large introduced, different methods have emerged recorded as a printed version around video object distinguishing proof, countless which have used significant learning norms. The mark of this assessment is to present a twofold framework for a total investigation of the principle methodologies of video object acknowledgment regardless the methodology of murkiness associations. It presents a chart of existing datasets for video object location close by appraisal estimations ordinarily used connected with fleecy frameworks organization methodologies. The video data acknowledgment advancements are then arranged and each one imparted. Two test tables are given to know the differences between them to the extent that accuracy and math ability. Finally, a couple of future examples in video object recognition have been believed to address embedded difficulties.