ABSTRACT
The goal of this study was to examine executive functioning, math performance, and visuospatial processing skills of children with perinatal stroke, which have not been well explored in this population. Participants included 18 children with perinatal stroke (aged 6-16 years old) and their primary caregiver. Each child completed standardized tests of executive function and visuospatial processing skills, Intelligence Quotient (IQ), and math achievement. Performance on executive function, IQ, math, and visuospatial processing tests was significantly lower in children with perinatal stroke when compared to normative means. Poorer inhibitory control was associated with worse math performance. Increased age at testing was associated with better performance on visuospatial ability (using standardized scores), and females performed better than males on a test of inhibitory control. Children with perinatal stroke displayed a range of neuropsychological impairments, and difficulties with executive function (inhibition) may contribute to math difficulties in this population.
Subject(s)
Executive Function/physiology , Mathematics/statistics & numerical data , Pregnancy Complications/etiology , Stroke/complications , Adolescent , Adult , Child , Female , Humans , Mathematics/methods , Perinatal Care/methods , Perinatal Care/statistics & numerical data , Pregnancy , Pregnancy Complications/physiopathology , Surveys and QuestionnairesABSTRACT
Humans exhibit complex arithmetic skills, often attributed to our exceptionally large neocortex. However, the past decade has provided ample evidence that the functional domain of the subcortex extends well beyond basic functions. Using a sensitive behavioral method, for the first time, we explored the contributions of lower-order visual monocular channels to symbolic arithmetic operations, addition and subtraction. The pattern of results from 4 different experiments provides converging evidence for a causal relation between mental arithmetic and primitive subcortical regions. The results have major implications for our understanding of the neuroevolutionary development of general numerical abilities-subcortical regions, which are shared across different species, are essential to complex numerical operations. In a bigger conceptual framework, these findings and others call for a shift from the modal view of the exclusive role of the neocortex in high-level cognition to a view that emphasizes the interplay between subcortical and cortical brain networks.
Subject(s)
Brain/physiology , Cognition/physiology , Mathematics/statistics & numerical data , Neocortex/physiology , Visual Pathways/physiology , Adult , Female , Humans , Male , Young AdultABSTRACT
There remains a large gender imbalance in the science, technology, engineering and mathematics (STEM) workforce deriving from a leaky pipeline where women start losing interest and confidence in science and engineering as early as primary school. To address this disparity, the Science Research & Engineering Program (SREP) at Hathaway Brown School was established in 1998 to engage and expose their all-female high school students to STEM fields through an internship-like multi-year research experience at partnering institutions. We compare data from existing Hathaway Brown School SREP alumnae records from 1998-2018 (n = 495) to Non-SREP students and national datasets (National Center for Educational Statistics, National Science Foundation, and US Census data) to assess how SREP participation may influence persistence in the STEM pipeline and whether SREP alumnae attribute differences in these outcomes to the confidence and skill sets they learned from the SREP experience. The results reveal that women who participate in the SREP are more likely to pursue a major in a STEM field and continue on to a STEM occupation compared to non-SREP students, national female averages, and national subsets. Participants attribute their outcomes to an increase in confidence, establishment of technical and professional skills, and other traits strengthened through the SREP experience. These data suggest that implementing similar experiential programs for women in science and engineering at the high school stage could be a promising way to combat the remaining gender gap in STEM fields.
Subject(s)
Engineering/statistics & numerical data , Learning/physiology , Science/statistics & numerical data , Sexism , Adolescent , Adult , Engineering/standards , Female , Humans , Longitudinal Studies , Male , Mathematics/statistics & numerical data , Schools , Science/standards , Students , Technology/statistics & numerical data , Workforce , Young AdultABSTRACT
This study examined the combined effects of breakfast and exercise on short-term academic and cognitive performance in adolescents. Eighty-two adolescents (64 female), aged 14-19 years, were randomized to four groups over a 4-hour morning: (i) a group who fasted and were sedentary (F-S); (ii) a group who ate breakfast but were sedentary (B-S); (iii) a group who fasted but completed a 30-min exercise bout (F-E); and (iv) a group who ate breakfast and completed a 30-min exercise bout (B-E). Individuals completed academic and cognitive tests over the morning. Adolescents in B-E significantly improved their mathematics score (B-E: 15.2% improvement on correct answers, vs. F-S: 6.7% improvement on correct answers; p = 0.014) and computation time for correct answers (B-E: 16.7% improvement, vs. F-S: 7.4% improvement; p = 0.004) over the morning compared with the F-S group. The B-E group had faster reaction times for congruent, incongruent and control trials of the Stroop Color-Word Task compared with F-S mid-morning (all p < 0.05). Morning breakfast and exercise combine to improve short-term mathematical task performance and speed in adolescents.
Subject(s)
Academic Performance/statistics & numerical data , Breakfast/physiology , Cognition/physiology , Exercise/physiology , Adolescent , Fasting/physiology , Female , Humans , Male , Mathematics/statistics & numerical data , Reaction Time , Singapore , Stroop Test/statistics & numerical data , Young AdultABSTRACT
We analyse academic success using a genealogical approach to the careers of over 95,000 scientists in mathematics and associated fields in physics and chemistry. We look at the effect of Ph.D. supervisors (one's mentors) on the number of Ph.D. students that one supervises later on (one's mentees) as a measure of academic success. Supervisors generally provide important inputs in Ph.D. projects, which can have long-lasting effects on academic careers. Moreover, having multiple supervisors exposes one to a diversity of inputs. We show that Ph.D. students benefit from having multiple supervisors instead of a single one. The cognitive diversity of mentors has a subtler effect in that it increases both the likelihood of success (having many mentees later on) and failure (having no mentees at all later on). We understand the effect of diverse mentorship as a high-risk, high-gain strategy: the recombination of unrelated expertise often fails, but sometimes leads to true novelty.
Subject(s)
Academic Success , Career Choice , Mathematics/statistics & numerical data , Science/statistics & numerical data , Chemistry/statistics & numerical data , Female , History, 18th Century , History, 19th Century , History, 20th Century , History, 21st Century , Humans , Male , Mathematics/history , Mentors/history , Physics/history , Physics/statistics & numerical data , Research Personnel/history , Research Personnel/psychology , Students/history , Students/statistics & numerical dataABSTRACT
We provide nationally representative estimates of sexual minority representation in STEM fields by studying 142,641 men and women in same-sex couples from the 2009-2018 American Community Surveys. These data indicate that men in same-sex couples are 12 percentage points less likely to have completed a bachelor's degree in a STEM field compared to men in different-sex couples. On the other hand, there is no gap observed for women in same-sex couples compared to women in different-sex couples. The STEM degree gap between men in same-sex and different-sex couples is larger than the STEM degree gap between all white and black men but is smaller than the gender gap in STEM degrees. We also document a smaller but statistically significant gap in STEM occupations between men in same-sex and different-sex couples, and we replicate this finding by comparing heterosexual and gay men using independently drawn data from the 2013-2018 National Health Interview Surveys. These differences persist after controlling for demographic characteristics, location, and fertility. Finally, we document that gay male representation in STEM fields (measured using either degrees or occupations) is systematically and positively associated with female representation in those same STEM fields.
Subject(s)
Engineering/statistics & numerical data , Mathematics/statistics & numerical data , Science/statistics & numerical data , Sexual and Gender Minorities/statistics & numerical data , Workforce/statistics & numerical data , Female , Humans , Male , Sexism , United StatesABSTRACT
Purpose: Poor vision is prevalent in school-aged students, especially in East Asia. This can not only cause irreversibly physical health impairments like glaucoma and cataracts, but also the loss of individual education and employment opportunities and deterioration of the quality of life. The present study aims to investigate the associations between poor vision, vision-related risk behaviors, and mathematics achievement in youth from China. Methods: The present study included a total of 106,192 Grade 4 students and 70,236 Grade 8 students from the China National Assessment of Educational Quality-Physical Education & Health 2015 (CNAEQ-PEH 2015). We conducted a standard logarithmic visual acuity scale for vision screening, a self-reported questionnaire for vision-related risk behavior and a standardized mathematics assessment for mathematics performance. Poor vision is defined as the visual acuity below 5.0 by using the standard logarithmic visual acuity chart. Linear regression was conducted. Results: The prevalence rate of poor vision in China was 37.1% in Grade 4 and 66.2% in Grade 8 in 2015. Students who had poor vision were more likely to have better mathematics achievement than those with normal vision. Reading in bed, insufficient sleep, and screen time during weekdays and weekends were associated with higher odds of poor vision. Conclusions: Poor vision was positively associated with mathematics academic achievements, while vision-related risk behaviors such as screen time, homework time and reading in bed were associated with a high prevalence of poor vision in compulsory education cycle students.
Subject(s)
Mathematics , Quality of Life , Students , Academic Success , Adolescent , Child , China/epidemiology , Female , Humans , Male , Mathematics/statistics & numerical data , Risk Factors , Schools , Students/statistics & numerical data , Vision Disorders/epidemiologyABSTRACT
Gender gaps in Science, Technology, Engineering, and Mathematics (STEM) participation are larger in societies where women have greater freedom of choice. We provide a cultural psychological model to explain this pattern. We consider how individualistic/post-materialistic cultural patterns in WEIRD (Western, Educated, Industrial, Rich, and Democratic) settings foster a self-expressive construction of academic choice, whereby affirming femininity/masculinity and ensuring identity fit become primary goals. Striving to fulfill these goals can lead men toward, and women away from, STEM pursuit, resulting in a large gender gap. In Majority World settings, on the contrary, collectivistic/materialistic cultural patterns foster a security-oriented construction, whereby achieving financial security and fulfilling relational expectations become primary goals of academic choice. These goals can lead both women and men toward secure and lucrative fields like STEM, resulting in a smaller gender gap. Finally, gender gaps in STEM participation feed back into the STEM=male stereotype. We discuss the implications of our model for research and theory, and intervention and policy.
Subject(s)
Academic Performance , Culture , Engineering/education , Gender Equity , Internationality , Mathematics/education , Science/education , Technology/education , Academic Success , Career Choice , Choice Behavior , Engineering/statistics & numerical data , Ethnopsychology , Gender Role , Humans , Mathematics/statistics & numerical data , Models, Psychological , Science/statistics & numerical data , Social Norms , Technology/statistics & numerical dataABSTRACT
Children's mathematics skills undergo extensive development during the preschool years. Opportunities for engaging in mathematics in the preschool classroom, however, are limited, and activities and instruction are often targeted below children's skill levels. Although researchers have developed general learning trajectories of children's mathematics skills, no fine-grained trajectories across a broad range of mathematics skills exist. Such a fine-grained trajectory of when specific numeracy skills develop would allow preschool and kindergarten instruction to more appropriately match and scaffold children's mathematics capabilities. The current study examined preschool children's item-level performance on eight numeracy subtests at half-year age points throughout the preschool period. Data were compiled across six studies, and participants comprised 801 preschool children (age range = 3.12-5.99 years, M = 4.63, SD = 0.68). Children were grouped into six age categories (3, 3.5, 4, 4.5, 5, and 5.5 years). Linear regression analyses were used to investigate the number of children who correctly answered each item of a specific subtest within a particular age group. Findings provide clear trajectories of children's early mathematics skills that can be used to inform preschool classroom practices and facilitate the design of intervention studies.
Subject(s)
Learning , Mathematics/statistics & numerical data , Age Factors , Child, Preschool , Cross-Sectional Studies , Female , Humans , Knowledge , Male , Parent-Child RelationsABSTRACT
Importance: Children born preterm are at an elevated risk of academic underachievement. However, the extent to which performance across domain-specific subskills in reading and mathematics is associated with preterm birth remains unclear. Objective: To conduct a systematic review and meta-analysis of academic outcomes of school-aged children born preterm, compared with children born at term, appraising evidence for higher- and lower-order subskills in reading and mathematics. Data Sources: PubMed/MEDLINE, PsycINFO, and the Cumulative Index of Nursing and Allied Health Literature electronic databases from January 1, 1980, to July 30, 2018, were searched for population, exposure, and outcome terms such as child (population), preterm birth (exposure), and education* (outcome). Study Selection: Peer-reviewed English-language publications that included preterm-born children and a comparison group of term-born children aged 5 to 18 years and born during or after 1980 and that reported outcomes on standardized assessments from cohort or cross-sectional studies were screened. Of the 9833 articles screened, 33 unique studies met the inclusion criteria. Data Extraction and Synthesis: Data were analyzed from August 1 to September 29, 2018. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. Two reviewers independently screened the databases and extracted sample characteristics and outcomes scores. Pooled mean differences (MDs) were analyzed using random-effects models. Main Outcomes and Measures: Performance on standardized assessment of higher-order subskills of reading comprehension and applied mathematics problems; lower-order reading subskills of decoding, pseudoword decoding, and word identification; and lower-order mathematics subskills of knowledge, calculation, and fluency. Results: Outcomes data were extracted for 4006 preterm and 3317 term-born children, totaling 7323 participants from 33 unique studies. Relative to children born at term, children born preterm scored significantly lower in reading comprehension (mean difference [MD], -7.96; 95% CI, -12.15 to -3.76; I2 = 81%) and applied mathematical problems (MD, -11.41; 95% CI, -17.57 to -5.26; I2 = 91%) assessments. Across the assessments of lower-order skills, children born preterm scored significantly lower than their term-born peers in calculation (MD, -10.57; 95% CI, -15.62 to -5.52; I2 = 92%), decoding (MD, -10.18; 95% CI, -16.83 to -3.53; I2 = 71%), mathematical knowledge (MD, -9.88; 95% CI, -11.68 to -8.08; I2 = 62%), word identification (MD, -7.44; 95% CI, -9.08 to -5.80; I2 = 69%), and mathematical fluency (MD, -6.89; 95% CI, -13.54 to -0.23; I2 = 72%). The associations remained unchanged after sensitivity analyses for reducing heterogeneity. Conclusions and Relevance: These findings provide evidence that preterm birth is associated with academic underperformance in aggregate measures of reading and mathematics, as well as a variety of related subskills.
Subject(s)
Academic Success , Child, Preschool/education , Mathematics/education , Premature Birth/epidemiology , Adolescent , Case-Control Studies , Child , Child, Preschool/statistics & numerical data , Comprehension/physiology , Cross-Sectional Studies , Data Management , Female , Humans , Male , Mathematics/statistics & numerical data , Outcome Assessment, Health Care , Premature Birth/psychology , ReadingABSTRACT
Multiple-choice examinations play a critical role in university admissions across the world. A key question is whether imposing penalties for wrong answers on these examinations deters guessing from women more than men, disadvantaging female test-takers. We consider data from a large-scale, high-stakes policy change that removed penalties for wrong answers on the national college entry examination in Chile. The policy change reduced a large gender gap in questions skipped. It also narrowed gender gaps in performance, primarily among high-performing test-takers, and in the fields of math, social science, and chemistry.
Subject(s)
College Admission Test/statistics & numerical data , Students/statistics & numerical data , Universities/standards , Chemistry/education , Chemistry/standards , Chemistry/statistics & numerical data , Chile , Choice Behavior , Female , Humans , Male , Mathematics/education , Mathematics/standards , Mathematics/statistics & numerical data , Policy , Social Sciences/education , Social Sciences/standards , Social Sciences/statistics & numerical data , Students/psychology , Universities/statistics & numerical dataABSTRACT
Parents' involvement in their children's education and parental warmth have been linked to many positive child outcomes. In addition to these positive associations, contemporary developmental theory stresses the interaction between different parenting variables and the interaction between parenting and broad contextual factors such as family socioeconomic status (SES). Thus, the purpose of this study was to examine main and interaction effects of parent home-based involvement and parental warmth on achievement outcomes. Additionally, we evaluated whether these variables also interacted with SES to predict students' achievement growth. Using the Early Childhood Longitudinal Study - Kindergarten Cohort of 2010-11 (N = 2352), growth of academic outcomes was modeled from kindergarten to the fourth grade. We then used latent variable interaction (Maslowsky, Jager, & Hemken, 2015) procedures to examine interaction effects of our primary study variables. Few significant effects were noted for children's reading and mathematics scores, but more substantial main (home-based involvement) and interaction (parental warmth and SES) effects emerged for science achievement. At high SES levels, warmth negatively predicted growth in science, whereas at lower SES levels, warmth positively predicted growth. Findings are discussed in relation to importance of parent involvement, differential effects across SES contexts, and curricular emphasis in contemporary schools.
Subject(s)
Academic Success , Parent-Child Relations , Parenting/psychology , Students/statistics & numerical data , Child , Child, Preschool , Educational Status , Female , Humans , Longitudinal Studies , Male , Mathematics/statistics & numerical data , Parents/psychology , Reading , Social ClassABSTRACT
The socioeconomic attainment gap in mathematics starts early and increases over time. This study aimed to examine why this gap exists. Four-year-olds from diverse backgrounds were randomly allocated to a brief intervention designed to improve executive functions (N = 87) or to an active control group (N = 88). The study was preregistered and followed CONSORT guidelines. Executive functions and mathematical skills were measured at baseline, 1 week, 3 months, 6 months, and 1 year posttraining. Executive functions mediated the relation between socioeconomic status and mathematical skills. Children improved over training, but this did not transfer to untrained executive functions or mathematics. Executive functions may explain socioeconomic attainment gaps, but cognitive training directly targeting executive functions is not an effective way to narrow this gap.
Subject(s)
Executive Function/physiology , Mathematics , Socioeconomic Factors , Child, Preschool , Cultural Deprivation , Educational Measurement , Educational Status , Female , Humans , Intelligence Tests , Male , Mathematics/education , Mathematics/statistics & numerical data , Memory, Short-Term , Social Class , United Kingdom/epidemiologyABSTRACT
There is extensive, yet fragmented, evidence of gender differences in academia suggesting that women are underrepresented in most scientific disciplines and publish fewer articles throughout a career, and their work acquires fewer citations. Here, we offer a comprehensive picture of longitudinal gender differences in performance through a bibliometric analysis of academic publishing careers by reconstructing the complete publication history of over 1.5 million gender-identified authors whose publishing career ended between 1955 and 2010, covering 83 countries and 13 disciplines. We find that, paradoxically, the increase of participation of women in science over the past 60 years was accompanied by an increase of gender differences in both productivity and impact. Most surprisingly, though, we uncover two gender invariants, finding that men and women publish at a comparable annual rate and have equivalent career-wise impact for the same size body of work. Finally, we demonstrate that differences in publishing career lengths and dropout rates explain a large portion of the reported career-wise differences in productivity and impact, although productivity differences still remain. This comprehensive picture of gender inequality in academia can help rephrase the conversation around the sustainability of women's careers in academia, with important consequences for institutions and policy makers.
Subject(s)
Authorship , Career Mobility , Periodicals as Topic/statistics & numerical data , Science/statistics & numerical data , Sexism/statistics & numerical data , Workforce/statistics & numerical data , Academic Success , Adult , Faculty/statistics & numerical data , Female , Humans , Male , Mathematics/statistics & numerical data , Middle Aged , Research Personnel/statistics & numerical dataABSTRACT
This study investigates the effect of violent crime on school district-level achievement in English language arts (ELA) and mathematics. The research design exploits variation in achievement and violent crime across 813 school districts in the United States and seven birth cohorts of children born between 1996 and 2002. The identification strategy leverages exogenous shocks to crime rates arising from the availability of federal funds to hire police officers in the local police departments where the school districts operate. Results show that children who entered the school system when the violent crime rate in their school districts was lower score higher in ELA by the end of eighth grade, relative to children attending schools in the same district but who entered the school system when the violent crime rate was higher. A 10% decline in the violent crime rate experienced at ages 0-6 raises eighth-grade ELA achievement in the district by 0.03 standard deviations. Models that estimate effects by race and gender show larger impacts among Black children and boys. The district-wide effect on mathematics achievement is smaller and statistically nonsignificant. These findings extend our understanding of the geography of educational opportunity in the United States and reinforce the idea that understanding inequalities in academic achievement requires evidence on what happens inside as well as outside schools.
Subject(s)
Academic Success , Crime/statistics & numerical data , Racial Groups/statistics & numerical data , Residence Characteristics/statistics & numerical data , Adolescent , Age Factors , Child , Female , Humans , Language Arts/standards , Language Arts/statistics & numerical data , Male , Mathematics/standards , Mathematics/statistics & numerical data , Sex Factors , United States/epidemiologyABSTRACT
This paper examines the magnitude and source of gender gaps in cognitive and social-emotional skills in early primary grades in rural Indonesia. Relative to boys, girls score more than 0.17 SD higher in tests of language and mathematics (cognitive skills) and between 0.18 and 0.27 SD higher in measures of social competence and emotional maturity (social-emotional skills). We use Oaxaca-Blinder decomposition to investigate the extent to which gender differences in early schooling and parenting practices explain these gender gaps in skills. For cognitive skills, differences in early schooling between boys and girls explain between 9% and 11% of the gender gap whereas differences in parenting practices explain merely 3%-5% of the gender gap. This decomposition result is driven largely by children living in villages with high-quality preschools. In contrast, for social-emotional skills, differences in parenting styles toward boys and girls explain between 13% and 17% of the gender gap, while differences in early schooling explain only 0%-6% of the gender gap.
Subject(s)
Cognition , Emotional Intelligence , Rural Population , Sex Factors , Social Skills , Child , Female , Humans , Indonesia , Language Development , Male , Mathematics/standards , Mathematics/statistics & numerical data , Parenting/psychology , Schools/standardsABSTRACT
In 3 experiments, we investigated how age-related differences in cognitive performance are exacerbated by age-based stereotype threat. We adopted a strategy approach and investigated a domain, namely arithmetic, where age-related differences in participants' performance are either nonexistent or very small and where effects of age-based stereotype threat have never been investigated. In 2 types of tasks (problem verification in Experiment 1 and computational estimation in Experiments 2 and 3), we found that age-based stereotype threat led older adults to obtain poorer performance, to adopt less systematically and less often the better strategy on each problem, to repeat the same strategy across trials even when it was inappropriate, and to execute available strategies more poorly. We also found that poorer strategy use mediated threat effects and that individual differences in processing resources moderated individuals' sensitivity to effects of stereotype threat. Our results establish that age-based stereotype threat effects occur in a wide variety of cognitive domains and tasks and are independent of pre-experimental differences in young and older adults' performance. They deepen our knowledge of the mechanisms underlying age-based, and other stereotype threat effects. They also document how domain-general and domain-specific processing resources moderate individual differences in age-based stereotype threat effects. Our findings have important implications to improve our understanding of how and when age-based (and other) stereotype threat effects occur, and, more generally, how psychosocial factors modulate age-related changes in human cognition. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Subject(s)
Cognition , Mathematics/statistics & numerical data , Stereotyping , Task Performance and Analysis , Adult , Age Factors , Aged , Female , France , Humans , Individuality , Male , Young AdultABSTRACT
This study examines associations between stimulating-responsive social interactions with mothers and nonparental childcare providers during the first 3 years of life and children's vocabulary and mathematics skills through age 15 (N = 1,364). Additive relations were found in which more stimulating-responsive interactions with mothers and with caregivers were linked to higher mathematics achievement in childhood and adolescence. More stimulating-responsive early interactions with mothers were also associated with larger child vocabularies through age 15. Synergistic relations, consistent with the dual-risk hypothesis, also were found. Children whose early interactions with both mothers and caregivers were low in stimulation and responsivity had substantially lower mathematics skills. Implications for early childhood interventions and policies are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).