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This paper examines the relationship of the national IQs reported by Lynn & Vanhanen (2002, 2006) to national achievement in mathematics and science among 8th graders in 67 countries. The correlation between the two is 0.92 and is interpreted as establishing the validity of the national IQs. The correlation is so high that national IQs and educational achievement appear to be measures of the same construct. National differences in educational achievement are greater than differences in IQ, suggesting an amplifier effect such that national differences in IQs amplify differences in educational achievement. Controlling for national differences in IQ, slight inverse relationships of educational achievement are observed with political freedom, subjective well-being, income inequality, and GDP. However, public expenditure on education (as % of GDP) was not a significant predictor of differences in educational achievement.
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... In our randomized study, we investigate whether a 10-week coding education programme can benefit a variety of cognitive skills of elementary school children. We specifically investigate computational thinking, fluid intelligence, and spatial orientation, as these are conceptually related to learning programming (Francis, Khan, & Davis, 2016;Lye & Koh, 2014;Mladenović et al., 2016;Psycharis & Kallia, 2017;Scherer et al., 2019) as well as suggested to be essential for the development of 21st-century skills (Lynn, Meisenberg, Mikk, & Williams, 2007;Uttal & Cohen, 2012;Wai, Lubinski, & Benbow, 2009;Werner, Denner, Campe, & Kawamoto, 2012). Moreover, using the same sample and education programme and a randomized design, the current study examines both near (computational thinking)-and far-transfer effects (fluid intelligence and spatial reasoning) of a developmentally appropriate programming education to contribute to the knowledge on the differential effects of programming education on cognitive skills. ...
... Fluid intelligence (matrix reasoning) Fluid intelligence (Gf) is an ability to adapt and solve novel problems without the use of previous experience or knowledge (Carpenter, Just, & Shell, 1990). Fluid intelligence is counted as one of the critical predictors of learning (Deary, Strand, Smith, & Fernandes, 2007) and academic success (Lynn et al., 2007). Moreover, fluid intelligence is also suggested to be one of the crucial predictors of problem-solving (Klauer, Willmes, & Phye, 2002) and was even used as synonymous with problem-solving in Diamond (2013). ...
Article
Background: Coding has been added to school curricula in several countries, being one of the necessary competencies of the 21st century. Although it has also been suggested to foster the development of several cognitive skills such as computational thinking and problem-solving, studies on the effects of coding are very limited, provide mixed results, and lack causal evidence. Aim: This study aims to evaluate the impact of a learn-to-code programme on three cognitive skills in children: computational thinking, fluid intelligence, and spatial orientation, using a randomized trial. Sample: One hundred seventy-four (n = 81 girls) 4th-grade children participated in the study. Methods: Children were randomly assigned to one of the three 10-week learning programmes: learn-to-code (treatment of interest), mathematics (another STEM-related comparison treatment), and reading (control). Children responded to paper-pencil computational thinking, and spatial orientation measurements, and face-to-face matrix reasoning task at pre- and post-tests. Results: Results showed that children's computational thinking scores increased significantly only in the learn-to-code condition. Fluid intelligence significantly increased in all conditions, possibly due to a practice effect. The spatial orientation did not improve in any of the conditions. Conclusion: These findings suggested that learning to code can be selectively beneficial for the development of computational thinking skills while not effective for spatial reasoning and fluid intelligence.
... Moreover, the activation of brain areas associated with the executive attention network highly overlap with those that support general intelligence (Duncan & Owen, 2000). Even though Gf works independently from acquired knowledge, it has a key role for academic achievement (Alloway & Alloway, 2010;Lynn, Meisenberg, Mikk, & Williams, 2007). ...
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The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention. Sixty‐six children (males: 54.2%) aged 50.9–75.9 months participated in a four‐weeks computerized training program. Information on genes involved in the regulation of dopamine, serotonin, norepinephrine, and acetylcholine was collected. The standardized pre‐ to post‐training gains of two dependent measures were considered: WM Span backwards condition (WISC‐III) and the IQ‐f factor from the Kaufman Brief Intelligence Test (K‐BIT). A machine‐learning methodology was implemented utilizing multilayer perceptron artificial neural networks (ANN) with a backpropagation algorithm. Both ANN models reached high overall accuracy in their predictive classification. Variations in genes involved in dopamine and norepinephrine neurotransmission affect children's susceptibility to benefit from executive attention training, a pattern that is consistent with previous studies.
... Findings indicating the positive influence on maternal ECD knowledge of being better educated, possessing greater cognitive ability and enjoying a higher SES corroborate previous evidence demonstrating that greater cognitive ability (measured by intelligence quotient, IQ) results in better school performance by children (Lynn et al., 2007). In turn, the potential development of IQ is related to economic level and conditions in the household (Fischbein, 1980). ...
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Introduction Efforts to identify the predictors of maternal knowledge on Early Child Development (ECD) have proven inconclusive thus far, particularly with respect to socially deprived contexts in Low- and Middle-Income Countries (LMICs). We quantified the extent of ECD knowledge among mothers who were the primary caregivers of 0–38-month-old infants in marginalized communities in Mexico. We also explored the characteristics of the children, both individually and with regard to their households, given the influence of these factors on childhood development. Methods We analyzed primary data obtained through a questionnaire administered to mothers who were the primary caregivers of 1045 girls and boys 0–38 months of age. The instrument was specifically designed for our study in order to explore the knowledge of participants about physical, neurological and psycho-affective development during childhood. We performed fractional regression analysis to assess the predictors of ECD knowledge. Results The mean score of maternal ECD knowledge increased with their age and schooling as well as with their levels of cognitive ability and self-esteem. Irrespective of age at first birth, mean knowledge was relatively high for women with high school education and low for women with elementary or no formal education, a gradient with respect to age at fist birth was more marked among women with middle school education. ECD knowledge scores increased among mothers from households enjoying higher socioeconomic levels and from households with health insurance. Scores were lower for indigenous households regardless of their participation in social programs. Conclusion Public policies on ECD should promote programs that are not only adapted to specific contexts, but also designed to improve shared child-rearing, early childhood care and as well as psycho-emotional education skills as a pathway to healthier ECD. The participation of families and communities in sensitive childhood care should form part of multisectoral programs involving education, health and wellbeing.
... Ceci (1991) suggested that education can improve IQ by directly inculcating relevant information, indirectly inculcating modes of cognition that are valued on IQ tests, and preparing students with attitudes and values that may facilitate or inhibit standardized test performance. Several aspects of national educational systems predict national IQ (Rindermann & Ceci, 2009), including quality of education expressed in graduate admission exam scores (Pesta et al., 2019), secondary school enrolment, levels of illiteracy (Barber, 2005), educational attainment (Opdebeeck et al., 2015;Strenze, 2007), public expenditure on education (Lynn et al., 2007), exposure to formal schooling (Meisenberg, 2012), and the quality and quantity of school education of students (Rindermann, 2008). Among the aspects of the education system studied thus far, the impact of educational inequality on national IQ has not been tested. ...
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This study empirically assessed the influence of educational inequality on national intelligence quotient (IQ) using aggregated data from 139 countries. This relationship was analyzed while controlling for components of the Human Development Index (mean and expected years of schooling, life expectancy at birth, gross national income per capita), and other inequity factors (inequality in income, gender, and life expectancy at birth). These results provide evidence that educational inequality is the strongest predictor of national IQ. The findings demonstrate that countries with greater educational and gender inequalities and lower gross national income have lower national IQ. The current results provide unique insight into the processes shaping national IQ by demonstrating novel and strong determinants, that is, educational inequality. These findings are discussed in the context of possible practical implications for reducing educational inequality with the aim of increasing national IQ.
... The subsequent evidence has been at least partially supportive of the original findings; however, there remains a need to replicate and build upon this original work, to better understand the extent to which selfcontrol (or self-discipline) does outperform measures of intelligence in explaining variability in measures of academic performance. This is also true for work that seeks to replicate the original work across different cultures, as there is no reason to believe that the effects of either selfcontrol (e.g., Vazsonyi et al., 2017) or intelligence (e.g., Lynn, Meisenberg, Mikk, & Williams, 2007) would vary across different developmental contexts. ...
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Duckworth and Seligman’s seminal work found that self-discipline (self-control) was more salient for academic achievement than intelligence. Very little replication work exists, including in different cultures; the current study addressed these gaps. Data were collected from 6th and 7th grade cohorts of early adolescents (N = 589; age: Mean = 12.34 years, and SD = 0.89; 58% female) over two years. The study tested whether self-control was a stronger predictor than intelligence in explaining academic performance two years later as well as in explaining developmental changes over the course of two years. Path analyses provided evidence that both self-control and intelligence longitudinally predicted teacher-reported academic competence as well as school-reported grades; however, intelligence was a significantly stronger predictor than self-control. In addition, only intelligence predicted developmental changes in each measure of academic performance over time, self-control did not.
... FR predicts performance on a wide range of cognitive activities, including performance in school, university, and cognitively demanding occupations (Gottfredson, 1997), and some studies have demonstrated that low FR in children is a predictor of academic difficulties (Lynn et al., 2007;Nisbett, 2009). ...
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Cognitive abilities are essential to children's overall growth; thus, the implementation of early and effective training interventions is a major challenge for developmental psychologists and teachers. This study explores whether an intervention simultaneously operating on fluid reasoning (FR), visuospatial, narrative, and motor abilities could boost these competencies in a group of Italian preschoolers (N = 108, 54 males 54 females, Agemean = 4.04). FR and visuospatial abilities showed training‐related increases at the end of the training and 1‐year follow‐up (moderate effect size). Interestingly, positive correlations with working memory and mathematical abilities were found. Beyond their scientific relevance, the short‐ and long‐term effects provide fundamental indications for designing and implementing educational programs dedicated to preschoolers.
... El CI tiene una distribución normal, donde la mayoría de las personas obtienen puntajes que se distribuyen en la parte central, clasificándolo en 7 grupos (gráfico 1) (6-9). Éste CI es variable a través de las diferentes poblaciones existiendo naciones que están alrededor de 70 y otras en 107, los cuales, además, se correlacionan fuertemente con los logros nacionales que se realizan en matemáticas y ciencias (ej.: TIMSS, PISA) (10,11). Según las teorías psicológicas como la teoría CHC, de inteligencias múltiples de Gardner y la triárquica de Stenberg, la inteligencia está basada en subestructuras fundamentales (2). ...
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La inteligencia humana es un rasgo poligénico (~1000 genes) con una influencia de cada gen aproximadamente ascendente al 0,1%. Es un atributo indispensable para el desarrollo personal, familiar, social y económico y tiene, además, una relación directamente proporcional al mantenimiento de la salud y a una mayor esperanza de vida. La discapacidad intelectual, consecuentemente, afecta todas estas áreas y constituye un problema de salud pública en varios países de Latinoamérica en los que exhibe una prevalencia mayor al 10%. La etiología de la discapacidad intelectual sea aislada o sindrómica, es genética hasta en un 85% de los casos; se diagnostica mediante las nuevas tecnologías de búsqueda en el genoma, tales como la secuenciación masiva y el análisis cromosómico por micromatrices. El diagnóstico etiológico de la discapacidad intelectual permite la selección de terapias específicas, la determinación del pronóstico y de riesgos de recurrencia familiar e individual.
... As opposed to most previous studies, we accounted for maternal education and maternal nonverbal IQ, as well as early childhood nonverbal IQ. Accounting for IQ is important as children with lower IQ levels are more likely to have poorer school performance scores (Lynn, Meisenberg, Mikk, & Williams, 2007) and potentially at increased risk for psychotic experiences (Horwood et al., 2008). Our study also extended previous findings by independently investigating auditory and visual hallucinations, which indicated that visual hallucinations had particularly robust associations with school performance. ...
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... On the practical level, earlier studies have consistently shown that intelligence, as measured by IQ tests, is strongly correlated with academic achievement, as evaluated by Large-Scale Assessments (LSA), at least if aggregated on a national level. Even on an individual level, the correlations in several studies for a number of countries are still high, albeit not perfect (r = 0.58 to 0.80; Flores-Mendoza et al., 2015;Lynn, Meisenberg, Mikk, & Williams, 2007;Rindermann, 2007). Furthermore, correlations with contextual variables like family income (r = 0.50), or home assets such as study desks or computers (r = 0.66 to 0.74), and parents' education (r = 0.37), were shown to have analogous positive effects, both on student cognitive abilities as measured by IQ tests, as well as TIMSS standardized school achievement tests . ...
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