J. Hyde, S. Lindberg, M. Linn et al.
Hasil untuk "math-ph"
Menampilkan 20 dari ~3501833 hasil · dari CrossRef, DOAJ, Semantic Scholar
J. Meece, Allan Wigfield, J. Eccles
Gerardo Ramirez, Elizabeth A. Gunderson, S. Levine et al.
Manu Kapur
Qixuan Chen, Jingguang Li
Natalia Nollenberger, Núria Rodríguez-Planas, Almudena Sevilla
This paper explores the role of cultural attitudes towards women in determining math educational gender gaps using the epidemiological approach. To identify whether culture matters, we estimate whether the math gender gap for each immigrant group living in a particular host country (and exposed to the same host country's laws and institutions) is explained by measures of gender equality in the parents' country of ancestry. We find that the higher the degree of gender equality in the country of ancestry, the higher the performance of second-generation immigrant girls relative to boys. This result is robust to alternative specifications, measures of gender equality and the inclusion of other human development indicators in the country of ancestry. The transmission of culture is higher among those in schools with a higher proportion of immigrants or in co-educational schools. Our results suggest that policies aimed at changing beliefs can prove effective in reducing the gender gap in mathematics.
Tomas Koltai, Larry Fliegel, Fátima Baltazar et al.
D. P. Martin, S. Rimm-Kaufman
Kaustubh Supekar, T. Iuculano, Lang Chen et al.
Math anxiety is a negative emotional reaction that is characterized by feelings of stress and anxiety in situations involving mathematical problem solving. High math-anxious individuals tend to avoid situations involving mathematics and are less likely to pursue science, technology, engineering, and math-related careers than those with low math anxiety. Math anxiety during childhood, in particular, has adverse long-term consequences for academic and professional success. Identifying cognitive interventions and brain mechanisms by which math anxiety can be ameliorated in children is therefore critical. Here we investigate whether an intensive 8 week one-to-one cognitive tutoring program designed to improve mathematical skills reduces childhood math anxiety, and we identify the neurobiological mechanisms by which math anxiety can be reduced in affected children. Forty-six children in grade 3, a critical early-onset period for math anxiety, participated in the cognitive tutoring program. High math-anxious children showed a significant reduction in math anxiety after tutoring. Remarkably, tutoring remediated aberrant functional responses and connectivity in emotion-related circuits anchored in the basolateral amygdala. Crucially, children with greater tutoring-induced decreases in amygdala reactivity had larger reductions in math anxiety. Our study demonstrates that sustained exposure to mathematical stimuli can reduce math anxiety and highlights the key role of the amygdala in this process. Our findings are consistent with models of exposure-based therapy for anxiety disorders and have the potential to inform the early treatment of a disability that, if left untreated in childhood, can lead to significant lifelong educational and socioeconomic consequences in affected individuals. SIGNIFICANCE STATEMENT Math anxiety during early childhood has adverse long-term consequences for academic and professional success. It is therefore important to identify ways to alleviate math anxiety in young children. Surprisingly, there have been no studies of cognitive interventions and the underlying neurobiological mechanisms by which math anxiety can be ameliorated in young children. Here, we demonstrate that intensive 8 week one-to-one cognitive tutoring not only reduces math anxiety but also remarkably remediates aberrant functional responses and connectivity in emotion-related circuits anchored in the amygdala. Our findings are likely to propel new ways of thinking about early treatment of a disability that has significant implications for improving each individual's academic and professional chances of success in today's technological society that increasingly demands strong quantitative skills.
Sian L. Beilock, Erin A. Maloney
Dario Cvencek, Manu Kapur, A. Meltzoff
Amanda M. Ferguson, Erin A. Maloney, Jonathan A. Fugelsang et al.
Ming-Te Wang, Jessica L Degol, Feifei Ye
Although young women now obtain higher course grades in math than boys and are just as likely to be enrolled in advanced math courses in high school, females continue to be underrepresented in some Science, Technology, Engineering, and Mathematics (STEM) occupations. This study drew on expectancy-value theory to assess (1) which intellectual and motivational factors in high school predict gender differences in career choices and (2) whether students’ motivational beliefs mediated the pathway of gender on STEM career via math achievement by using a national longitudinal sample in the United States. We found that math achievement in 12th grade mediated the association between gender and attainment of a STEM career by the early to mid-thirties. However, math achievement was not the only factor distinguishing gender differences in STEM occupations. Even though math achievement explained career differences between men and women, math task value partially explained the gender differences in STEM career attainment that were attributed to math achievement. The identification of potential factors of women’s underrepresentation in STEM will enhance our ability to design intervention programs that are optimally tailored to female needs to impact STEM achievement and occupational choices.
John Mighton
Jacob Bindman, K. Diaz-Granados, Lia Mondavi et al.
ost mathematical topics, ideas, and formulas that we encounter in a math class live in an abstract, symbolic world. We write equations, draw diagrams, and even solve practical-sounding problems, all confined to marks on paper or perhaps to electronic representations. But what happens when we try to embody some of those concepts in physical form? In fall 2018, we, a group of students at Harvard University with diverse academic backgrounds and our instructor, Glen Whitney, had the opportunity to explore this question in a course entitled, “Making Math Material.” The course proceeded in a cyclic fashion: we took up a mathematical topic of interest and studied it in some depth to discover the entities and ideas that could be illustrated physically. Then we adopted a software tool—GeoGebra, SymmetriSketch, OpenSCAD, and others—suited to creating virtual models of the objects we might want to build. Once we identified interesting targets, we explored fabrication methods to turn these designs into reality, ending with tangible models we could touch, manipulate, and explore. In doing so, new or additional mathematical questions arose, kicking off another round of study, design, and building. Creating models served other purposes as well: to make the mathematics we were studying accessible to a larger audience and to make it more relevant to them. The major projects of the semester highlighted these goals: writing a blog about the mathematics found in everyday objects, designing an item that would bring out the beauty of a mathematical topic, and finally, creating a handson exhibit suitable for an interactive museum. The following pages contain a selection of these projects described by the students who created them. Like any offbeat pursuit, the course also had other outcomes. For example, we became more adept with utility knives. But among the most satisfying and exciting outcomes were the unforeseen discoveries in the course of physical exploration. Lia Mondavi uncovered an aspect of a geometric proof of a number-theoretic identity that seemed to be overlooked in other presentations; Katja Diaz-Granados found that a principle elucidated by Leonardo da Vinci held up surprisingly well under modern measurements; and Jacob Bindman discovered a three-dimensional linkage that would contract along one axis when either compressed or stretched along a different axis. Hopefully these experiences and discoveries will inspire others to explore the material side of mathematics.
Madeleine Bieg, T. Goetz, Ilka Wolter et al.
Mathematics is associated with anxiety for many students; an emotion linked to lower well-being and poorer learning outcomes. While findings typically show females to report higher trait math anxiety than males, no gender differences have to date been found in state (i.e., momentary) math anxiety. The present diary study aimed to replicate previous findings in investigating whether levels of academic self-concept was related to this discrepancy in trait vs. state anxiety measures. Additionally, mathematics-related gender stereotype endorsement (mathematics is a male domain) was investigated as an additional predictor of the trait-state discrepancy. The sample included 755 German 9th and 10th graders who completed self-report measures of trait math anxiety, math self-concept, and gender stereotype endorsement, in addition to state measures of anxiety after math classes by use of a standardized diary for 2–3 weeks (Nwithin = 6207). As expected, females reported higher trait math anxiety but no gender differences were found for state math anxiety. Also in line with our assumptions, multilevel analyses showed the discrepancy between trait and state anxiety to be negatively related to students' self-concept (i.e., a lower discrepancy for students with higher self-concepts). Furthermore, gender stereotype endorsement differentially predicted the trait-state discrepancy: When controlling for self-concept in mathematics, females who endorsed the gender stereotype of math being a male domain more strongly overestimated their trait math anxiety as compared to their state anxiety whereas this effect was not significant for males. The present findings suggest that gender stereotype endorsement plays an important role in explaining gender differences in math anxiety above and beyond academic self-concept. Implications for future research and educational practice are discussed.
Meilan Zhang, R. Trussell, Benjamin Gallegos et al.
B. Casad, Patricia Hale, F. L. Wachs
Two studies examined social determinants of adolescents' math anxiety including parents' own math anxiety and children's endorsement of math-gender stereotypes. In Study 1, parent-child dyads were surveyed and the interaction between parent and child math anxiety was examined, with an eye to same- and other-gender dyads. Results indicate that parent's math anxiety interacts with daughters' and sons' anxiety to predict math self-efficacy, GPA, behavioral intentions, math attitudes, and math devaluing. Parents with lower math anxiety showed a positive relationship to children's math outcomes when children also had lower anxiety. The strongest relationships were found with same-gender dyads, particularly Mother-Daughter dyads. Study 2 showed that endorsement of math-gender stereotypes predicts math anxiety (and not vice versa) for performance beliefs and outcomes (self-efficacy and GPA). Further, math anxiety fully mediated the relationship between gender stereotypes and math self-efficacy for girls and boys, and for boys with GPA. These findings address gaps in the literature on the role of parents' math anxiety in the effects of children's math anxiety and math anxiety as a mechanism affecting performance. Results have implications for interventions on parents' math anxiety and dispelling gender stereotypes in math classrooms.
B. Bottge, Michael D. Toland, Linda J. Gassaway et al.
T. Takagi, M. Wakayama, Keisuke Tanaka et al.
Halaman 27 dari 175092