Racial stereotypes are salient to Black adolescents and to the academic domain of mathematics; however, few studies have examined the socio-cognitive mechanisms through which racial stereotypes impact math achievement. This 2-year longitudinal study (N = 790 Grade 6, 8, and 10 students during Year 1; 50.7% girls and 49.3% boys) investigated (a) the extent to which the endorsement of positively and negatively biased racial stereotypes predicted Black adolescents\' math performance through their cognitive engagement and ability mindset and (b) whether gender and ethnic-racial identity moderated these links. Results suggested that endorsement of negatively biased stereotypes was associated with diminished cognitive engagement and lower math scores across 2 years (p < .05). Additionally, adolescents\' ethnic-racial identity commitment moderated the negative links between stereotype endorsement and math cognitive engagement in Year 2 (p < .05). When considering the mediating role of math ability mindsets, the endorsement of both positively and negatively biased racial stereotypes operated on math performance via its links to stronger fixed ability mindset beliefs in both years (p < .05). Gender also moderated the effects of racial stereotype endorsement on math mindset beliefs in Year 1 (p < .01). This study\'s findings advance the field\'s understanding of the psychosocial mechanisms through which racial stereotypes operate, thus enabling educators to develop tailored practices that facilitate equitable access to math learning opportunities.

Using a person-centered approach, we aimed to identify different executive functioning profiles to assess heterogeneity across individuals within the same school grade through latent profile analysis. A sample of 150 Grade 2 (7-8 years old), 150 Grade 6 (11-12 years old), and 150 Grade 10 (15-16 years old) children and adolescents were assessed on 11 different executive tasks representative of the three main executive functioning subcomponents (i.e., inhibition, cognitive flexibility, and working memory), fluid intelligence, processing speed, problem-solving, and reading comprehension. Three different executive functioning profiles of different patterns of interactions based on inhibition, cognitive flexibility, and working memory within and between grades were identified. Moreover, these profiles were differentially related to reading comprehension and mathematical achievement. Second, as expected, we did not find these profiles to be associated with sociodemographic variables such as chronological age or sex. Still, fluid intelligence and processing speed were differentially related to the different profiles at each grade. We also found that the executive functioning profiles interacted with each cognitive skill (i.e., fluid intelligence and processing speed) in predicting reading comprehension and math achievement. These findings provide valuable insights for developing preventive and intervention strategies in education.

Although many students experience math anxiety in school, the contexts in which it occurs are not well-understood. Increased understanding of the environmental situations that might elicit math anxiety is needed to better support students\' math achievement. Using a within-subjects design, we examined differences in math anxiety and math performance across math task timing (i.e., overt timing vs. covert timing) and math task complexity (i.e., simple vs. complex problems) with 113 fourth- (n = 38) and fifth-grade (n = 75) students. ANCOVA results showed no significant differences in participant reporting of math anxiety between overt and covert timing conditions for both simple (p = .27) and complex problems (p = .42). However, participants reported higher levels of math anxiety when working on complex math tasks compared to working on simple math tasks (p = .01). Findings also showed that participants with medium to high baseline math anxiety were more likely to report higher levels of math anxiety when completing complex math problems under the covert timing condition, p = .02, η2 = 0.13. Implications for practice and future research are discussed.

Early number skills represent critical milestones in children\'s cognitive development and are shaped over years of interacting with quantities and numerals in various contexts. Several connectionist computational models have attempted to emulate how certain number concepts may be learned, represented, and processed in the brain. However, these models mainly used highly simplified inputs and focused on limited tasks. We expand on previous work in two directions: First, we train a model end-to-end on video demonstrations in a synthetic environment with multimodal visual and language inputs. Second, we use a more holistic dataset of 35 tasks, covering enumeration, set comparisons, symbolic digits, and seriation. The order in which the model acquires tasks reflects input length and variability, and the resulting trajectories mostly fit with findings from educational psychology. The trained model also displays symbolic and non-symbolic size and distance effects. Using techniques from interpretability research, we investigate how our attention-based model integrates cross-modal representations and binds them into context-specific associative networks to solve different tasks. We compare models trained with and without symbolic inputs and find that the purely non-symbolic model employs more processing-intensive strategies to determine set size.

UNASSIGNED: Exposure to lead during childhood is detrimental to children\'s health. The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known.
UNASSIGNED: Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities.
UNASSIGNED: We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: 1μg/dL (reference), 2μg/dL, 3-4μg/dL and ≥5μg/dL. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math.
UNASSIGNED: The average BLL across the 91,706 individuals in the analysis dataset was 2.84μg/dL. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of 2μg/dL, 3-4μg/dL and ≥5μg/dL were associated with overall lower reading test scores of -0.28 [95% confidence interval (CI): -0.43, -0.12], -0.53 (-0.69, -0.38), and -0.79 (-0.99, -0.604), respectively. For BLLs of 1μg/dL, 2μg/dL, 3-4μg/dL and ≥5μg/dL, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the \"global\" coefficient-ranged from -9.70 to 2.52, -3.19 to 3.90, -11.14 to 7.85, and -4.73 to 4.33, respectively. Results for mathematics were similar to those for reading.
UNASSIGNED: The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. These results emphasize the need for prevention and mitigation efforts with respect to lead exposures everywhere, with special attention to locations where the cognitive impact is elevated. https://doi.org/10.1289/EHP13898.

BACKGROUND: This study aimed to investigate the cognitive and affective factors associated with cross-cultural differences in arithmetic tasks.
METHODS: A total of 404 third- and fourth- graders were recruited from China and Italy to complete exact arithmetic, arithmetic estimation and cognitive tasks (i.e., short-term memory, executive functions, and fluid reasoning). Their mathematical anxiety was also measured.
RESULTS: The results showed that Chinese children performed better than Italian children in both arithmetic tasks and in shifting task. Italian children performed better in visuospatial updating task and reported higher levels of mathematical anxiety than their Chinese peers. Multi-group path analyses showed that the patterns of relations among cognitive factors (i.e., short-term memory, inhibition and shifting), mathematical anxiety, and arithmetic performance were similar across groups. The only exception was that visuospatial updating uniquely predicted arithmetic estimation for Chinese but not for Italian children.
CONCLUSIONS: Chinese children outperformed their Italian peers in the exact arithmetic task, likely due to the greater emphasis on arithmetic fluency in Chinese mathematics education, both in schools and at home. They also had a slight advantage than Italian peers in the arithmetic estimation task. The unique link between updating and arithmetic estimation found in Chinese children but not Italian children suggests that, although arithmetic estimation is not emphasized in the curricula of either country, instruction and practice in exact arithmetic may enhance Chinese children\'s efficiency in solving arithmetic estimation problems.

Drawing on self-regulatory strength models of self-control, this research examined the relationship between burnout and attentional processes for STEM (science, technology, engineering, and mathematics) students. Using data from participants in STEM, burnout was found to be associated with higher levels of off-task thinking, also known as mind-wandering. Further, self-control acted as a mediator in the relationship between burnout and mind-wandering such that higher levels of burnout predicted poor self-control that subsequently increased the mind\'s tendency to wander. Additionally, mindfulness buffered the relationship between burnout and mind-wandering such that burnout had the most detrimental impact on attention for those students who were low in mindfulness. Using the Johnson-Neyman approach, results reveal the upper limits for the moderating impact of mindfulness. Results and implications for science and practice are discussed with a special grounding for students in the STEM context.

In this exploratory mixed-methods analysis of students\' perceptions of inclusion in introductory STEM courses for STEM majors, we asked students to rate inclusion in their class and to provide an open-text explanation of their rating. Analyzing 1930 qualitative responses resulted in a codebook containing academic, identity, and nonspecific categories. The majority of responses (>80%) cited academic factors such as interactions between students and instructors or course elements and policies. Most academic responses aligned with evidence-based teaching practices fostering inclusion, describing a range of strategies and policies instructors can implement to increase students\' perceptions of inclusion. A small number of student responses indicated that their perception of the required knowledge background for the course impacted course inclusivity. Few differences in frequency distributions were found between subgroups examined (gender, race and ethnicity, self-reported inclusion score, and discipline). Additionally, tracking a subset of students (135) across three courses revealed that most (80%) cited different factors influencing their perception of inclusion in each course. This suggests students\' perceptions of inclusive practices are complex, and most students recognize multiple factors that influence their inclusion. Overall, our findings suggest instructors can significantly influence students\' perceptions of inclusion by using multiple inclusive teaching strategies and course policies.

Math development in children relies on several underlying cognitive functions, including executive functions (EF), working memory (WM), and visual-motor abilities, such as visual-motor integration (VMI). Understanding how these cognitive factors contribute to children\'s math performance is critical to supporting math learning and long-term math success. The present quasi-experimental waitlist control study (N = 28) aimed to (a) examine the unique contributions of EF, WM, and VMI to math abilities among children ages 5-8 years old with neurodevelopmental difficulties; (b) determine whether a math intervention (the Mathematics Interactive Learning Experience; MILE) that supports these cognitive processes was effective when modified to be delivered to small groups in a school setting, and (c) examine whether any participant characteristics, such as age or IQ, were correlated with post-intervention math score changes. At baseline, participants\' math scores were significantly below the normative mean in all math content areas (ps < .01). EF, WM, and VMI were highly correlated with math ability; however, verbal WM was the only unique predictor of math ability in regressions analysis. Compared to a waitlist control group, children in the immediate MILE intervention group achieved significantly greater math gains overall. When all children who ultimately completed the intervention were considered together, significant improvement was observed in more than half of math content areas. Furthermore, at the individual level, 85.7% of participants showed reliable change in at least one math content area. Implications for supporting math learning in children with neurodevelopmental difficulties are discussed.

It is well-established that general anxiety associates with the lower use of adaptive emotion regulation and the higher use of maladaptive emotion regulation. However, no study has previously investigated the impact of cognitive emotion regulation on academic anxieties. Using a sample of secondary school students (N = 391), this study examined the impact of cognitive emotion regulation on math and science anxieties. Math anxiety showed stronger correlations with adaptive than maladaptive emotion regulation, whereas general anxiety showed stronger correlations with maladaptive than adaptive emotion regulation. Hierarchical regression analyses showed that math anxiety was associated with the high uses of acceptance, rumination and other-blame and the low uses of positive reappraisal and putting into perspective. However, with controlling science and general anxieties, math anxiety was associated with the high use of rumination and the low use of positive reappraisal. In contrast, science anxiety was associated with the high uses of acceptance and other-blame and the low use of positive reappraisal. Importantly, however, with controlling math and general anxieties, those science anxiety associations did not remain. Accordingly, these results might provide important insights for the specificity, etiology, and intervention of math anxiety.