Learning from HBCUs: How to produce Black professionals in STEMM.

Historically Black colleges and universities (HBCUs) offer high-quality education and produce leaders from various backgrounds, mainly being African American. Predominately White institutions can utilize practices that make HBCUs successful to mentor and graduate students of all backgrounds. We also suggest ways to bolster HBCUs so they can train more students.

How Support of Early Career Researchers Can Reset Science in the Post-COVID19 World.

The COVID19 crisis has magnified the issues plaguing academic science, but it has also provided the scientific establishment with an unprecedented opportunity to reset. Shoring up the foundation of academic science will require a concerted effort between funding agencies, universities, and the public to rethink how we support scientists, with a special emphasis on early career researchers.

2023 lifetime achievement award: "If you want to go fast, go alone; if you want to go far, go together".

This article is based on the address given by the author at the 2023 meeting of The American Society of Human Genetics (ASHG). A video of the original address can be found at the ASHG website.

A network-based normalized impact measure reveals successful periods of scientific discovery across discipline.

The impact of a scientific publication is often measured by the number of citations it receives from the scientific community. However, citation count is susceptible to well-documented variations in citation practices across time and discipline, limiting our ability to compare different scientific achievements. Previous efforts to account for citation variations often rely on a priori discipline labels of papers, assuming that all papers in a discipline are identical in their subject matter. Here, we propose a network-based methodology to quantify the impact of an article by comparing it with locally comparable research, thereby eliminating the discipline label requirement. We show that the developed measure is not susceptible to discipline bias and follows a universal distribution for all articles published in different years, offering an unbiased indicator for impact across time and discipline. We then use the indicator to identify science-wide high impact research in the past half century and quantify its temporal production dynamics across disciplines, helping us identifying breakthroughs from diverse, smaller disciplines, such as geosciences, radiology, and optics, as opposed to citation-rich biomedical sciences. Our work provides insights into the evolution of science and paves a way for fair comparisons of the impact of diverse contributions across many fields.

Publishing and patenting the fruits of academic research: the key to a successful parallel track.

Researchers can participate in the patent process without sacrificing a robust publishing career. The key is timing, combined with a basic understanding of how the patent process works.

Quantifying the dynamics of failure across science, startups and security.

Human achievements are often preceded by repeated attempts that fail, but little is known about the mechanisms that govern the dynamics of failure. Here, building on previous research relating to innovation1-7, human dynamics8-11 and learning12-17, we develop a simple one-parameter model that mimics how successful future attempts build on past efforts. Solving this model analytically suggests that a phase transition separates the dynamics of failure into regions of progression or stagnation and predicts that, near the critical threshold, agents who share similar characteristics and learning strategies may experience fundamentally different outcomes following failures. Above the critical point, agents exploit incremental refinements to systematically advance towards success, whereas below it, they explore disjoint opportunities without a pattern of improvement. The model makes several empirically testable predictions, demonstrating that those who eventually succeed and those who do not may initially appear similar, but can be characterized by fundamentally distinct failure dynamics in terms of the efficiency and quality associated with each subsequent attempt. We collected large-scale data from three disparate domains and traced repeated attempts by investigators to obtain National Institutes of Health (NIH) grants to fund their research, innovators to successfully exit their startup ventures, and terrorist organizations to claim casualties in violent attacks. We find broadly consistent empirical support across all three domains, which systematically verifies each prediction of our model. Together, our findings unveil detectable yet previously unknown early signals that enable us to identify failure dynamics that will lead to ultimate success or failure. Given the ubiquitous nature of failure and the paucity of quantitative approaches to understand it, these results represent an initial step towards the deeper understanding of the complex dynamics underlying failure.

Achievement Goals: A Social Influence Cycle.

Achievement goals have been defined as the purpose of competence-relevant behavior. In this respect they connect one of the basic human needs, i.e., competence, to one of society's core values, i.e., achievement. We propose to look at achievement goals through the lens of social influence. We review both the influence that cultural, structural, and contextual factors have on achievement goal endorsement and the influence that endorsing achievement goals allows people to have within their social space. The review allows us to propose a circular model of the influence on and of achievement goals: The culture, social structures, and contexts that are typical of a certain society shape the specific environments in which individuals develop their achievement goals, which in turn has an influence on the expression and circulation of these achievement goals into society, in a social influence cycle.

Disentangling the individual and contextual effects of math anxiety: A global perspective.

Math anxiety is a common affective disorder in students that is characterized by intrusive thoughts that disrupt critical cognitive resources required for math problem-solving. Consistent associations between math anxiety and math achievement have been observed across countries and age groups, placing math anxiety among other important correlates of math achievement, such as socioeconomic status and magnitude representation ability. However, studies examining math anxiety's relation to achievement have largely focused on the effect of students' own math anxiety (individual effect), while little is known regarding the effect of math anxiety in students' educational context (contextual effect). Using three international studies of achievement (n = 1,175,515), we estimated both the individual and contextual effects of math anxiety across the globe. Results suggest that while there are consistent individual effects in virtually all countries examined, the contextual effects are varied, with only approximately half of the countries exhibiting a contextual effect. Additionally, we reveal that teacher confidence in teaching math is associated with a reduction of the individual effect, and country's level of uncertainty avoidance is related to a lessening of the contextual effect. Finally, we uncovered multiple predictors of math anxiety; notably, student perception of teacher competence was negative related with math anxiety, and parental homework involvement was positively related with math anxiety. Taken together, these results suggest that there are significant between-country differences in how math anxiety may be related with math achievement and suggest that education and cultural contexts as important considerations in understanding math anxiety's effects on achievement.

Social and genetic associations with educational performance in a Scandinavian welfare state.

Recent research has suggested that across Western developed societies, the influence of genetics on educational outcomes is relatively constant. However, the degree to which family environment matters varies, such that countries with high levels of intergenerational mobility have weaker associations of family background. Research in this vein has relied on twin-based estimates, which involve variance decomposition, so direct assessment of the association of genes and environments is not possible. In the present study, we approach the question by directly measuring the impact of child genotype, parental genetic nurture, and parental realized education on educational achievement in primary and secondary school. We deploy data from a social democratic context (Norway) and contrast our findings with those derived from more liberal welfare state contexts. Results point to genetics only confounding the relationship between parent status and offspring achievement to a small degree. Genetic nurture associations are similar to those in other societies. We find no, or very small, gene-environment interactions and parent-child genotype interactions with respect to test scores. In sum, in a Scandinavian welfare state context, both genetic and environmental associations are of similar magnitude as in societies with less-robust efforts to mitigate the influence of family background.

Rewarding cognitive effort increases the intrinsic value of mental labor.

Current models of mental effort in psychology, behavioral economics, and cognitive neuroscience typically suggest that exerting cognitive effort is aversive, and people avoid it whenever possible. The aim of this research was to challenge this view and show that people can learn to value and seek effort intrinsically. Our experiments tested the hypothesis that effort-contingent reward in a working-memory task will induce a preference for more demanding math tasks in a transfer phase, even though participants were aware that they would no longer receive any reward for task performance. In laboratory Experiment 1 (n = 121), we made reward directly contingent on mobilized cognitive effort as assessed via cardiovascular measures (ß-adrenergic sympathetic activity) during the training task. Experiments 2a to 2e (n = 1,457) were conducted online to examine whether the effects of effort-contingent reward on subsequent demand seeking replicate and generalize to community samples. Taken together, the studies yielded reliable evidence that effort-contingent reward increased participants' demand seeking and preference for the exertion of cognitive effort on the transfer task. Our findings provide evidence that people can learn to assign positive value to mental effort. The results challenge currently dominant theories of mental effort and provide evidence and an explanation for the positive effects of environments appreciating effort and individual growth on people's evaluation of effort and their willingness to mobilize effort and approach challenging tasks.

"You need to be super smart to do well in math!" Young children's field-specific ability beliefs.

Success in science, technology, engineering, and mathematics (STEM) fields is often believed to require intellectual talent ("brilliance"). Given that many cultures associate men more than women with brilliance, this belief poses an obstacle to women's STEM pursuits. Here, we investigated the developmental roots of this phenomenon, focusing specifically on young children's beliefs about math (N = 174 U.S. students in Grades 1-4; 93 girls, 81 boys; 52% White, 17% Asian, 13% Hispanic/Latinx). We found that field-specific ability beliefs (FABs) that associate success in math (vs. reading/writing) with brilliance are already present in early elementary school. We also found that brilliance-oriented FABs about math are negatively associated with elementary school students' (and particularly girls') math motivation-specifically, their math self-efficacy and interest. The early emergence of brilliance-oriented FABs about math and the negative relation between FABs and math motivation underscore the need to understand the sources and long-term effects of these beliefs. RESEARCH HIGHLIGHTS: Field-specific ability beliefs (FABs) are beliefs about the extent to which intellectual talent (or "brilliance") is required for success in a particular field or context. Among adults, brilliance-oriented FABs are an obstacle to diversity in science and technology, but the childhood antecedents of these beliefs are not well understood. The present study (N = 174) found that FABs that associate success in math (vs. reading/writing) with brilliance were already present in Grades 1-4. Brilliance-oriented FABs about math were negatively associated with elementary school students' (and particularly girls') math motivation-specifically, their math self-efficacy and interest.

The development and predictors of a preference for strivers over naturals in the United States and China.

Across three pre-registered studies (n = 221 4-9-year olds, 51% female; 218 parents, 80% female; working- and middle-class backgrounds; data collected during 2019-2021) conducted in the United States (Studies 1-2; 74% White) and China (Study 3; 100% Asian), we document the emergence of a preference for "strivers." Beginning at age 7, strivers (who work really hard) were favored over naturals (who are really smart) in both cultures (R2 ranging .03-.11). We explored several lay beliefs surrounding this preference. Beliefs about outcomes and the controllability of effort predicted the striver preference: Children who expected strivers to be more successful than naturals and believed effort was more controllable than talent preferred strivers more. Implications of the striver preference in education and beyond are discussed.

Developmental trajectories of achievement emotions in mathematics during adolescence.

This study examined how adolescents' emotions in mathematics develop over time. Growth curve modeling was applied to longitudinal data collected annually from 2002 to 2006 (Grades 5-9; N = 3425 German adolescents; Mage = 11.7, 15.6 years at the first and last waves, respectively; 50.0% female). Results indicated that enjoyment and pride decreased over time (Glass's Δs = -.86, -.71). In contrast, negative emotions exhibited more complex patterns: Anger, boredom, and hopelessness increased (Δs = .52, .79, .26), shame decreased (Δ = -.12), and anxiety remained stable (Δ = .00). These change trajectories of emotions were associated with change trajectories of perceived control, intrinsic value, achievement value, and achievement in mathematics. Implications and future directions are discussed.

Generalizability of the effectiveness of a preschool mathematics intervention for low-socioeconomic status Turkish children.

A socioeconomic status (SES)-related achievement gap in mathematics emerges in children from many countries before school entry, persists in primary school, and imposes challenges for education systems worldwide. In response, the United Nations' sustainable development goals include universal access to quality preschool education to support universal numeracy. A generalizability study of the effectiveness of an early mathematics intervention was conducted for low-SES Turkish preschool children (33 boys, 27 girls; Mage = 4.32). Classrooms were randomly assigned to treatment (Pre-K Mathematics) or control conditions. Children's early mathematical knowledge was assessed by the Child Math Assessment. A statistically significant positive impact was found (ES = 1.32). This indicates some generalizability of the intervention and supports the feasibility of using early intervention to achieve UN goals.

Investing in resources: An interaction model of personal resources, commitment, and work achievement.

OBJECTIVE: Management practice commonly assumes that the value of a work-goal dictates the nature of motivation processes. We investigate instead how individuals invest resources from the perspective of their own value system. Drawing from Conservation of Resources theory, we explore the valuation process by testing a reciprocal model between work-goal attainment, goal commitment, and personal resources, including self-efficacy, optimism, and subjective well-being. METHOD: Data were collected in a two-wave longitudinal study among sales professionals (n = 793) from France (F), Pakistan (P), and the United States (U). RESULTS: Multi-group cross-lagged path analysis confirmed the reciprocal model across all three countries. Time 1 resources and goal commitment predicted work goal attainment (F = 0.24; P = 0.37; U = 0.39) and (F = 0.31; P = 0.40; U = 0.36) respectively. T1 level of goal attainment also fuelled T2 resources and goal commitment (F = 0.30; P = 0.29; U = 0.34) and (F = 0.33; P = 0.32; U = 0.29). CONCLUSIONS: Our reciprocal findings suggest a revised approach on the nature of targets and goals. They indicate an alternative to linear path modeling, as the role of goal commitment is not necessarily that of an intermediary stage linking antecedent resources to attainment purposes. Furthermore, cultural values play a differentiating role in the goal-attainment process.

Testing the efficacy of three informational interventions for reducing misperceptions of the Black-White wealth gap.

Americans remain unaware of the magnitude of economic inequality in the nation and the degree to which it is patterned by race. We exposed a community sample of respondents to one of three interventions designed to promote a more realistic understanding of the Black-White wealth gap. The interventions conformed to recommendations in messaging about racial inequality drawn from the social sciences yet differed in how they highlighted data-based trends in Black-White wealth inequality, a single personal narrative, or both. Data interventions were more effective than the narrative in both shifting how people talk about racial wealth inequality-eliciting less speech about personal achievement-and, critically, lowering estimates of Black-White wealth equality for at least 18 mo following baseline, which aligned more with federal estimates of the Black-White wealth gap. Findings from this study highlight how data, along with current recommendations in the social sciences, can be leveraged to promote more accurate understandings of the magnitude of racial inequality in society, laying the necessary groundwork for messaging about equity-enhancing policy.

The impact of a lack of mathematical education on brain development and future attainment.

Formal education has a long-term impact on an individual's life. However, our knowledge of the effect of a specific lack of education, such as in mathematics, is currently poor but is highly relevant given the extant differences between countries in their educational curricula and the differences in opportunities to access education. Here we examined whether neurotransmitter concentrations in the adolescent brain could classify whether a student is lacking mathematical education. Decreased γ-aminobutyric acid (GABA) concentration within the middle frontal gyrus (MFG) successfully classified whether an adolescent studies math and was negatively associated with frontoparietal connectivity. In a second experiment, we uncovered that our findings were not due to preexisting differences before a mathematical education ceased. Furthermore, we showed that MFG GABA not only classifies whether an adolescent is studying math or not, but it also predicts the changes in mathematical reasoning ∼19 mo later. The present results extend previous work in animals that has emphasized the role of GABA neurotransmission in synaptic and network plasticity and highlight the effect of a specific lack of education on MFG GABA concentration and learning-dependent plasticity. Our findings reveal the reciprocal effect between brain development and education and demonstrate the negative consequences of a specific lack of education during adolescence on brain plasticity and cognitive functions.

Ethnic-Racial Socialization, Teacher Discrimination, and Black Youth's School Engagement and Achievement.

Ethnic-racial socialization is one strategy Black parents use to support their children's school engagement and academic achievement given the occurrence and toxic effects of discrimination. Egalitarianism and preparation for bias socialization messages have yielded mixed evidence of promotive and protective effects for Black youth's school outcomes, and effects may vary according to ethnicity. Thus, this research examined associations between ethnic-racial socialization messages and school engagement and achievement, and whether these messages protected against teacher discrimination effects on academic achievement transmitted through school engagement, among a nationally representative sample of Black adolescents who participated in the National Survey of American Life Adolescent supplement study. Ethnic-racial socialization message content and the frequency of communication about race demonstrated different associations with engagement (i.e., school bonding, aspiration-expectation discrepancy, and disciplinary actions) and achievement (i.e., grades) for African American and Caribbean Black youth. However, the benefits were not sufficient to combat the adverse effects of teacher discrimination on school engagement and, in turn, achievement. These findings highlight the utility of integrating ethnic-racial socialization into prevention programs to support Black youth's school experiences; demonstrate the importance of attention to heterogeneity within Black youth; and underscore the critical need for prevention programs to address teacher discrimination.

Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes.

BACKGROUND: Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods can identify students at risk of poor academic progress and dropping out. The main goal of this study was to use machine learning models, Artificial Neural Networks (ANN) and Naïve Bayes (NB), to identify first year medical students that succeed academically, using sociodemographic data and academic history. METHODS: Data from seven cohorts (2011 to 2017) of admitted medical students to the National Autonomous University of Mexico (UNAM) Faculty of Medicine in Mexico City were analysed. Data from 7,976 students (2011 to 2017 cohorts) of the program were included. Information from admission diagnostic exam results, academic history, sociodemographic characteristics and family environment was used. The main dataset included 48 variables. The study followed the general knowledge discovery process: pre-processing, data analysis, and validation. Artificial Neural Networks (ANN) and Naïve Bayes (NB) models were used for data mining analysis. RESULTS: ANNs models had slightly better performance in accuracy, sensitivity, and specificity. Both models had better sensitivity when classifying regular students and better specificity when classifying irregular students. Of the 25 variables with highest predictive value in the Naïve Bayes model, percentage of correct answers in the diagnostic exam was the best variable. CONCLUSIONS: Both ANN and Naïve Bayes methods can be useful for predicting medical students' academic achievement in an undergraduate program, based on information of their prior knowledge and socio-demographic factors. Although ANN offered slightly superior results, Naïve Bayes made it possible to obtain an in-depth analysis of how the different variables influenced the model. The use of educational data mining techniques and machine learning classification techniques have potential in medical education.

Reinforcing or challenging the status quo: A grounded theory of how the model minority myth shapes Asian American activism.

Compared to other People of Color in the United States, Asian Americans are often seen as uninterested in activism. Furthermore, the widespread model minority myth (MMM) perpetuates the monolithic image of Asian Americans as successful in society and thus unaffected by racial oppression and uninterested in activism. Despite others' perceptions, Asian American college students have historically engaged in activist efforts and worked to reject the stereotypical views of their racial group as apolitical under the MMM. However, much remains to be learned about the consequences of the MMM on Asian American college students' perceptions and engagement in activism, and how such individuals make sense of the MMM and activism through interacting with their ecological contexts. Thus, the present study addresses this gap in the literature and is guided by the question: How do Asian American college students' perspectives and engagement in activism develop and operate in relation to the MMM? Using a constructivist grounded theory analytic approach, 25 Asian American college students participated in semistructured interviews, and our findings developed a grounded theory of how Asian American college students are embedded within micro- and macrolevel environments (e.g., familial, cultural, and societal contexts) that uphold the MMM and further shape how they make sense of and engage in activism. Results further revealed the consequences of the MMM as a legitimizing ideology on Asian American students' attitudes toward and involvement in challenging and/or reinforcing the status quo. Implications for future research and practice supporting Asian American activism and the broader pursuit for social justice are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).