Abstract:Math anxiety is widely considered a potential barrier to success in STEM. Current thinking holds that math anxiety is directly linked to avoidance of and underperformance in STEM domains. However, past evidence supporting these claims is limited in important ways. Perhaps most crucially, it is possible that math anxiety predicts STEM outcomes merely as a proxy for poor math skills. Here, we tested the link between math anxiety and subsequent STEM outcomes by measuring math anxiety, math ability, and several co… Show more
“…In most of the Western world, the issue of gender inequity in STEM fields is wellknown along with broader concerns regarding female students' shying away from or under-performing in courses involving computational knowledge and skills [8,9]. Countless studies have focused on uncovering the reasons for the unbalanced presence of women in STEM academic programs and professions and their under-performance concerning computational competency [10][11][12][13], in the hope that systematic interventions can be implemented, and, with time, rectify the status quo. The reasons uncovered [14] include external factors (e.g., institutional policies) and internal ones (e.g., attitudes), which may create the perfect storm responsible for women remaining under-represented in STEM fields as well as exhibiting, irrespective of the chosen field of study, lower computational competency than male students.…”
The present study was driven by the assumption that a key feature of sustainable education is its ability to preserve standards of quality even amid unforeseen, potentially disruptive events. It asked whether students’ academic success in math general education courses differed between synchronous online (during the COVID-19 pandemic) and face-to-face (before the pandemic), under the ancillary assumption that computational competency, a pillar of sustainable education, shapes enduring success in a variety of professional fields. As the early identification of at-risk students and ensuing remedial interventions can bring about academic success, the study also investigated the predictive validity of students’ initial performance in online and face-to-face math courses. Two general education courses (introductory calculus and statistics), taught by the same instructor, were selected. Class grades did not differ between instructional modes, thereby providing no evidence for the widespread concern that the switch to the online mode had damaged learning. Yet, during the semester, test and homework performance were differentially sensitive to modes of instruction. Furthermore, both test and homework performance during the first half of the semester predicted class grades in online courses, whereas only test performance predicted class grades in face-to-face courses. These results suggest that sustainable math education in times of crisis is feasible and that educators’ consideration of the differential predictive value of test and homework performance may aid its attainment.
“…In most of the Western world, the issue of gender inequity in STEM fields is wellknown along with broader concerns regarding female students' shying away from or under-performing in courses involving computational knowledge and skills [8,9]. Countless studies have focused on uncovering the reasons for the unbalanced presence of women in STEM academic programs and professions and their under-performance concerning computational competency [10][11][12][13], in the hope that systematic interventions can be implemented, and, with time, rectify the status quo. The reasons uncovered [14] include external factors (e.g., institutional policies) and internal ones (e.g., attitudes), which may create the perfect storm responsible for women remaining under-represented in STEM fields as well as exhibiting, irrespective of the chosen field of study, lower computational competency than male students.…”
The present study was driven by the assumption that a key feature of sustainable education is its ability to preserve standards of quality even amid unforeseen, potentially disruptive events. It asked whether students’ academic success in math general education courses differed between synchronous online (during the COVID-19 pandemic) and face-to-face (before the pandemic), under the ancillary assumption that computational competency, a pillar of sustainable education, shapes enduring success in a variety of professional fields. As the early identification of at-risk students and ensuing remedial interventions can bring about academic success, the study also investigated the predictive validity of students’ initial performance in online and face-to-face math courses. Two general education courses (introductory calculus and statistics), taught by the same instructor, were selected. Class grades did not differ between instructional modes, thereby providing no evidence for the widespread concern that the switch to the online mode had damaged learning. Yet, during the semester, test and homework performance were differentially sensitive to modes of instruction. Furthermore, both test and homework performance during the first half of the semester predicted class grades in online courses, whereas only test performance predicted class grades in face-to-face courses. These results suggest that sustainable math education in times of crisis is feasible and that educators’ consideration of the differential predictive value of test and homework performance may aid its attainment.
“…One potentially promising avenue is to examine to what extent the association between the sibling group composition and girls' interest in STEM is rooted in the psychological realm. A growing body of literature has indicated that the underrepresentation of girls in STEM fields is due in part to psychological elements, such as their lower levels of confidence in their STEM specific competencies (Tellhed et al, 2017); their greater gender stigma consciousness and their gender-based rejection sensitivity, which leads them to perceive STEM academic environments as threatening (Casad et al, 2019); and their significantly higher levels of math anxiety, which directly affects their avoidance of STEM fields, regardless of their math abilities (Daker et al, 2021;Maloney et al, 2012). Our results suggest that girls from specific sibling group compositional backgrounds may be more prepared to thrive in STEM learning environments because of their early exposure to male-dominated group climates, or because they believe more strongly that girls can be competent in math, as modeled by an older sister with high math ability.…”
Section: Discussionmentioning
confidence: 99%
“…In this article, we use the math ability of the older siblings as a proxy for role modeling. Research has shown that math achievement is positively linked to pursuing a STEM career (Wang & Degol, 2017;Wang et al, 2015), although some scholars have pointed out that the relationship between having cognitive mathematical abilities and majoring in STEM is complex, and is likely contingent on an individual's other cognitive abilities and field-specific ability beliefs, or may even be insignificant when the person's occupational plans are taken into account (Daker et al, 2021;Wang & Degol, 2017;Weeden et al, 2020). Nonetheless, high achievement in math is generally considered a predictor of pursuing a STEM career (Wang & Degol, 2017).…”
Section: Role Modeling Perspective: Older Siblings' Math Abilitymentioning
confidence: 99%
“…Nonetheless, high achievement in math is generally considered a predictor of pursuing a STEM career (Wang & Degol, 2017). Moreover, it has been shown that math anxiety prevents students from taking STEM courses, net of their math ability (Daker et al, 2021). There is also evidence that later-born siblings acquire sports skills from their older siblings, and that young children learn block building skills more effectively from their older siblings than from their peers (Azmitia & Hesser, 1993;Hopwood et al, 2015).…”
Section: Role Modeling Perspective: Older Siblings' Math Abilitymentioning
Although the association between siblings’ compositional characteristics and educational performance has been extensively studied, the question of whether the features of a sibling group are related to substantive gendered educational preferences has not been examined. Our analysis of the National Longitudinal Survey of Youth 1979 cohort (NLSY-79) Mothers and Children Files (N = 1545; 57% young women; 22% STEM major) showed that siblings’ compositional characteristics matter for STEM major preferences in college, but only for young women. Our findings indicated that women were more likely to prefer a STEM major if they were raised in smaller sibling groups, in male sibling group dominance, and if they had an older sister with high math achievement. These results are in line with the resource dilution approach; they shed light on the effects of being in a normative male-role sibling group climate; and they suggest that gendered outcomes are shaped by the interplay of role modeling and same-gender competitive stimulation. We also found that for young men, their preference for majoring in a STEM field was mostly driven by their own math ability. These findings suggest that socialization experiences that operate on the sibling level play a crucial role in whether girls become interested in and pursue “gender-atypical” educational choices. Our findings also underscore the need to differentiate these theoretical approaches by gender, particularly when applied to gendered outcomes such as STEM career trajectories.
“…Participants were recruited widely throughout campus via flyers. It should be noted that these data analyzed here are part of a larger dataset used in other papers 2,34,35 . The theoretical questions, analyses, and reports addressed in this paper are original.…”
Anxiety within the domains of math and spatial reasoning have consistently been shown to predict performance within those domains. However, little work has focused on how specific these associations are. Across two studies, we systematically tested the degree of specificity in relations between anxiety and performance within math and spatial reasoning. Results consistently showed that anxiety within a cognitive domain predicted performance in that domain even when controlling for other forms of anxiety, providing evidence that cognition-specific anxieties are valuable for understanding cognition-specific performance. We also found that general trait anxiety did not explain a significant portion the anxiety-performance link in either math or spatial reasoning, suggesting that these anxiety-performance associations are not due to the propensity to feel anxious generally. Interestingly, while spatial anxiety did not explain any of the anxiety-performance association in math, math anxiety did explain a significant portion of the anxiety-performance link in spatial reasoning. These results suggest that, while links between anxiety and performance cannot be reduced to a single underlying general anxiety construct, there may nevertheless be overlap between domain anxieties. We end by calling for a more detailed examination of the unique and shared mechanisms linking anxiety and performance across disparate cognitive domains.
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