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1. Gender differences in mathematics and its cognitive and non-cognitive predictors in community college students

   Boada, C.; Cirino, P.T. (February 2023, International Neuropsychological Society)

   Objective Historically, numerous studies have supported a male advantage in math. While more recent literature has shown that the gender gap is either decreasing or non-significant, a gender difference remains for higher level math (high school and college) (Hyde et. al. 1990; Casey et. al. 1995). It is known that both cognitive and non-cognitive factors influence math performance. There is little evidence for gender differences in working memory (Miller & Bichsel, 2004), which is a key predictor for mathematics. There is, however, evidence for gender differences in the non-cognitive domain, including math anxiety, with females having higher levels (Miller & Bichsel, 2004; Goetz, et. al. 2013). This study evaluates gender differences in both standardized and everyday math performances, and the way that cognitive and non-cognitive factors impact math. The study is focused on a very understudied group with high levels of math difficulty, namely community college students. We expected to find gender differences in math, and expect these to be in part accounted for by gender differences in strong mathematical predictors, particularly non-cognitive factors. Participants and Methods Participants included 94 community college students enrolled in their first math class (60 female; 34 male). Participants were administered the Kaufman Test of Educational Achievement – 3rd edition (KTEA3): Math Computation (MC) and Math Concepts Application (MCA) subtests, as well as an original Everyday Math (EM) measure which assessed their math ability in the context of common uses for math (e.g., financial and health numeracy). Additional measures included math anxiety, self-efficacy, and confidence. Finally, measures of complex span working memory tasks were administered to assess verbal and spatial working memory. Analyses were performed using correlation and regression to examine relationships between the cognitive and non-cognitive variables and standardized and everyday math measures. Results Correlations showed that all cognitive and non-cognitive variables are significantly correlated with all three math measures (all p < .05). There were no significant gender differences for any of the math measures, nor the working memory, or non-cognitive measures. Regression showed that across all three math outcomes, math anxiety and verbal working memory are significantly predictive of math performance. Overall R2 values were significant (range 27% to 37%, all p < .001). Working memory and math anxiety were unique predictors in all three regressions (all p < .05), but other non-cognitive variables such as self-efficacy did not show unique prediction (all p > .05). Conclusions There was no evidence for gender differences on any studied variable. This stands in contrast to prior studies, although few studies have included community college students. On the other hand, both cognitive and non-cognitive factors were complimentary in the prediction of math outcomes, which is consistent with prior work. Among non-cognitive predictors, math anxiety was particularly prominent. This study clarifies prior conflicting work regarding gender differences, and highlights the role of both math anxiety and working memory as relevant for multiple math outcomes. 

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2. Prepubertal gonadectomy reveals sex differences in approach-avoidance behavior in adult mice

   https://doi.org/10.1016/j.yhbeh.2019.104641  

   Delevich, Kristen; Hall, Chris D.; Piekarski, David; Zhang, Yuting; Wilbrecht, Linda (February 2020, Hormones and behavior)

   null (Ed.)

   Adolescence is a developmental period that is associated with physical, cognitive, and affective maturation and a time when sex biases in multiple psychiatric diseases emerge. While puberty onset marks the initiation of adolescence, it is unclear whether the pubertal rise in gonadal hormones generates sex differences in approach-avoidance behaviors that may impact psychiatric vulnerability. To examine the influence of pubertal development on adult behavior, we removed the gonads or performed sham surgery in male and female mice just prior to puberty onset and assessed performance in an odor-guided foraging task and anxiety-related behaviors in adulthood. We observed no significant sex differences in foraging or anxiety-related behaviors between intact adult male and female mice but found significant differences between adult male and female mice that had been gonadectomized (GDX) prior to puberty onset. GDX males failed to acquire the odor-guided foraging task, showed reduced locomotion, and exhibited increased anxiety-like behavior, while GDX females showed the opposite pattern of behavior. These data suggest that puberty may minimize rather than drive differences in approach-avoidance phenotypes in male and female mice. 

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3. Anxiety, Motivation, and Competence in Mathematics and Reading for Children With and Without Learning Difficulties

   https://doi.org/10.3389/fpsyg.2021.704821  

   Pollack, Courtney; Wilmot, Dayna; Centanni, Tracy M.; Halverson, Kelly; Frosch, Isabelle; D'Mello, Anila M.; Romeo, Rachel R.; Imhof, Andrea; Capella, Jimmy; Wade, Karolina; et al (October 2021, Frontiers in Psychology)

   Knowledge of the relations among learners' socio-emotional characteristics and competencies as they engage in mathematics and reading is limited, especially for children with academic difficulties. This study examined the relations between anxiety, motivation, and competence in mathematics and reading, within and across domains, in an academically-diverse set of 8–13-year-old learners ( n = 146). To measure anxiety and motivation across domains, we paired existing measures of math anxiety and reading motivation with researcher-developed analogs for reading anxiety and math motivation. Participants completed standardized assessments of mathematics and reading, anxiety and motivation surveys for math and reading, and a measure of nonverbal cognitive ability. Results showed high internal consistency for all anxiety and motivation scales (Cronbach's alpha = 0.76–0.91). Pearson correlations showed that within and across domains, participants with higher competence had lower anxiety and higher motivation. Higher anxiety was also associated with lower motivation. Regression analyses showed that for both math and reading, within-domain motivation was a stronger predictor of competence than anxiety. There was a unidirectional across-domain relation: socio-emotional characteristics for reading predicted math competence, after accounting for nonverbal cognitive ability, age, gender, and within-domain anxiety and motivation. Results contribute to knowledge of the socio-emotional characteristics of children with and without learning difficulties in association with reading and math activities. Implications of a unidirectional socio-emotional link between the two domains can advance research and theory of the relations among socio-emotional characteristics and competence for academically-diverse learners. 

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4. Response time on math skills and its association with math skills accuracy and physics course grades

   https://doi.org/10.1103/PhysRevPhysEducRes.21.010144  

   Moni_Prakash, Harish; Heckler, Andrew F (April 2025, Physical Review Physics Education Research)

   Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT in physics education, we conducted an exploratory investigation by collecting and analyzing both accuracy and RT data on physics-relevant math skills on low-stakes pre and posttests as well as course exam scores in algebra-based and calculus-based introductory physics courses over two semesters for a total of $N=1936$participants. Overall, we found a high level of variation in response times revealing weak but consistent patterns of associations between RT and accuracy on skills and exam scores. First, we found a nonlinear relationship between RT and accuracy on the pretest and on the post-test, which may indicate a variety of strategies and engagement among students on these participation-credit-only tests. Second, the results indicate that while RT alone does not predict course grade, when controlling for accuracy on pre or posttest math skills, students with lower RT on these skills are more likely to get better grades. Therefore, both pre or posttest accuracy and speed predicted course grades, though accuracy explained a substantial amount of variance ( $\sim 35\%$) while pretest RT explained a much smaller amount of variance ( $\sim 1\%$). Third, controlling for both pretest accuracy and pretest RT, we found that students who sped up from pre to posttest were likely to get higher exam scores; however, students who slowed down were on average likely to have a higher post-test score. Fourth, since systemic inequities in STEM education have been documented via measured mean differences between some demographic groups for exam scores and accuracy on math skills, we compared RTs by sex, race, first-generation status, and citizenship to potentially gain more insight into these inequities. We found no consistent or conclusive evidence of demographic differences, though in multiple comparisons, Black, Hispanic, Native American, and Pacific Islander students had larger RTs on average, and in one comparison they were slightly faster. We found that RT was not a mediator of demographic differences in physics grades, though, as expected, accuracy on math skills was a mediator. We briefly discuss how our results relate to various cognitive models such as cognitive ability, speed-accuracy trade-offs, fluency and cognitive load, dual-process theories, and student psychological factors like self-efficacy, anxiety, and motivation. We argue that, based on which (if any) of the above mechanisms are at play, valuing speed in physics may have benefits, such as improving fluency to reduce cognitive load and drawbacks, such as unintentionally using speed as a proxy for achievement or inducing excessive stress that may interfere with performance and student well-being. 

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5. Spatial activity participation in childhood and adolescence: consistency and relations to spatial thinking in adolescence

   https://doi.org/10.1186/s41235-020-00239-0  

   Peterson, Emily Grossnickle; Weinberger, Adam B.; Uttal, David H.; Kolvoord, Bob; Green, Adam E. (December 2020, Cognitive Research: Principles and Implications)

   null (Ed.)

   Abstract Background Prior research has revealed positive effects of spatial activity participation (e.g., playing with blocks, sports) on current and future spatial skills. However, research has not examined the degree to which spatial activity participation remains stable over time, and little is known about how participating in spatial activities at multiple points in development impacts spatial thinking. In this study, adolescents completed measures of spatial thinking and questionnaires assessing their current and previous participation in spatial activities. Results Participation in childhood spatial activities predicted adolescent spatial activity participation, and the relation was stronger for females than for males. Adolescents’ current participation in spatial activities predicted spatial thinking skills, whereas participation in childhood spatial activities predicted adolescents’ spatial habits of mind, even when accounting for factors such as gender and academic performance. No cumulative benefit was incurred due to participating in spatial activities in both childhood and adolescence, and a lack of spatial activities in childhood was not made up for by later spatial activity participation. Conclusions These findings reveal a consistently positive relationship in spatial activity participation between childhood and adolescence. Results highlight the importance of participating in spatial activities during childhood, and underscore the differential impact that participation in spatial activities during childhood versus adolescence has on different facets of adolescents’ spatial thinking. Implications for the timing of interventions is discussed. 

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