Inattention, hyperactivity/impulsivity, and mathematics: Exploring gender differences in a nonclinical sample

2021 ◽  
Vol 119 ◽  
pp. 104107
Author(s):  
Y. Kuzmina ◽  
A. Ivanova ◽  
G. Kanonirs
2021 ◽  
pp. 073112142110286
Author(s):  
Jennifer Ashlock ◽  
Miodrag Stojnic ◽  
Zeynep Tufekci

Cultural processes can reduce self-selection into math and science fields, but it remains unclear how confidence in computer science develops, where women are currently the least represented in STEM (science, technology, engineering, and mathematics). Few studies evaluate both computer skills and self-assessments of skill. In this paper, we evaluate gender differences in efficacy across three STEM fields using a data set of middle schoolers, a particularly consequential period for academic pathways. Even though girls and boys do not significantly differ in terms of math grades and have similar levels of computer skill, the gender gap in computer efficacy is twice as large as the gap for math. We offer support for disaggregation of STEM fields, so the unique meaning making around computing can be addressed.


Genus ◽  
2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Andrea Priulla ◽  
Nicoletta D’Angelo ◽  
Massimo Attanasio

AbstractThis paper investigates gender differences in university performances in Science, Technology, Engineering and Mathematics (STEM) courses in Italy, proposing a novel application through the segmented regression models. The analysis concerns freshmen students enrolled at a 3-year STEM degree in Italian universities in the last decade, with a focus on the relationship between the number of university credits earned during the first year (a good predictor of the regularity of the career) and the probability of getting the bachelor degree within 4 years. Data is provided by the Italian Ministry of University and Research (MIUR). Our analysis confirms that first-year performance is strongly correlated to obtaining a degree within 4 years. Furthermore, our findings show that gender differences vary among STEM courses, in accordance with the care-oriented and technical-oriented dichotomy. Males outperform females in mathematics, physics, chemistry and computer science, while females are slightly better than males in biology. In engineering, female performance seems to follow the male stream. Finally, accounting for other important covariates regarding students, we point out the importance of high school background and students’ demographic characteristics.


2017 ◽  
Vol 42 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Sue Walker ◽  
Donna Berthelsen

THIS PAPER PRESENTS ANALYSES of gender differences in classroom behaviours (e.g. attentiveness and task persistence) and early academic outcomes. Data is drawn from Growing Up in Australia: The Longitudinal Study of Australian children (LSAC). In these analyses, data from Wave 1 data collection (2004) and Wave 2 data collection (2006) for the Kindergarten Cohort are used. A sample of 2315 children who were in Year 1 of school at Wave 2 data collection are the focus for the analyses reported. The analyses draw on teacher ratings of children's literacy and language competence and mathematical thinking in Year 1 of school; as well as ratings of children's self-regulatory behaviour in the classroom and level of problem behaviours. Girls were rated by their teachers as having better literacy and language outcomes that were predicted by more positive classroom behaviours. Results are discussed with respect to the influence of children's classroom behaviours on academic learning at the beginning of formal schooling.


2019 ◽  
Vol 28 (3) ◽  
pp. 446-461
Author(s):  
Nadya A. Fouad ◽  
Michael B. Kozlowski ◽  
Romila Singh ◽  
Nina G. Linneman ◽  
Samantha S. Schams ◽  
...  

Women’s departure or nonentrance into science, technology, engineering, and mathematics professions, particularly engineering, has been a lively source of scholarly inquiry for the past three decades. Much of the literature in this area has been with solely female samples of participants, begging the question as to whether or not men and women either choose to leave the profession or not enter for the same or similar reasons. This present study collected a large sample of men ( n = 1,273) who had either left or never entered the engineering profession and compared their responses to a large sample of women ( n = 1,235) on a set of categorical response variables. Using the perspective of the Theory of Work Adjustment, our results suggest that there are gender differences in reasons for departure, raising the possibility that engineering climates differentially reinforce needs for men and women. Implications of this research are discussed.


2021 ◽  
Vol 2 ◽  
pp. 66-72
Author(s):  
Simona Butnaru

Bullying is an increasingly common problem in schools, associated with negative educational outcomes for both bullies and victims. This study explored the socio-educational family and school variables related to bullying, victimization and positive behavior, such as age, gender, separation from parents, school results, and truancy. In this study 311 students (50.8% boys) have participated, they were aged between 6 and 16 years (M = 11.01, SD = 1.71), enrolled in primary school (47.3%) and in secondary school (52.7%), all were from urban areas. 43.8% of respondents were separated from one or both parents due to divorce (17.4%), parental death (6.1%), migration (20%) or abandonment (0.3%). Bullying, victimization and positive behavior were measured with one standardized scale; the data about school results and attendance of the students was collected from the school registers; family information was self-reported by participants. Because Cronbach’s Alpha for the positive behavior scale was 0.57, lower that 0.7, this scale was not considered for further data analysis. Empirical data for the study was collected before the outbreak of the COVID-19 pandemic. The Mann-Whitney U test showed significant age differences: secondary school students scored higher in aggression than primary school students. We also found significant gender differences in bullying behavior: boys’ reported higher level of aggression. The Independent Sample Student’s t-test indicated gender differences in school results: the boys obtained lower school results in Language and Mathematics than the girls. Separation from one or both parents did not lead to significant differences in bullying behavior, but pupils separated from their parents had fewer school absences than their colleagues not separated from their parents. Pearson’s correlation indicated that students with higher bullying scores, also scored higher on victimization and had higher number of school absences, but had scored lower grades in Language and Mathematics. One-way ANOVA indicated that victimization was influenced by age and bullying was influenced by gender. Also, one-way ANOVA indicated an effect of bullying on school results. Two-way ANOVA showed an interaction effect between gender and separation from parents on bullying. When living with both parents, boys had higher bullying scores, but under separation condition, the boys scored slightly lower than girls. The implications of the results for education and counseling are discussed.


2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Alyssa J. Kersey ◽  
Kelsey D. Csumitta ◽  
Jessica F. Cantlon

Abstract Some scientists and public figures have hypothesized that women and men differ in their pursuit of careers in science, technology, engineering, and mathematics (STEM) owing to biological differences in mathematics aptitude. However, little evidence supports such claims. Some studies of children and adults show gender differences in mathematics performance but in those studies it is impossible to disentangle intrinsic, biological differences from sociocultural influences. To investigate the early biology of mathematics and gender, we tested for gender differences in the neural processes of mathematics in young children. We measured 3–10-year-old children’s neural development with functional magnetic resonance imaging (fMRI) during naturalistic viewing of mathematics education videos. We implemented both frequentist and Bayesian analyses that quantify gender similarities and differences in neural processes. Across all analyses girls and boys showed significant gender similarities in neural functioning, indicating that boys and girls engage the same neural system during mathematics development.


1995 ◽  
Vol 25 (3) ◽  
pp. 191-202 ◽  
Author(s):  
Catriona Macleod

Perspectives dealing with the study of gender and mathematics have failed generally to move beyond the individual/society divide. The contradictory nature of subjectivity and the operation and interpenetration of power and knowledge have not been taken into account. This article is based on the post-structuralist framework. The work of Walkerdine, which highlights the processes within the classroom which allow girls to succeed in mathematics but never actually be successful, is of interest. The methodology used is that of discourse analysis which makes clear both the positionings available to the participants as well as the power relations formed. The sample was drawn from a top-achieving Std 8 Higher Grade class in an affluent Model C school. This represents a theoretically salient sample as the literature points to ‘gender differences’ being most pronounced in the upper levels of mathematics education. The analysis clearly highlights the double-bind within which girls find themselves in the mathematics classroom. The apparent equality of opportunity and non-sexism is counteracted by the positioning of girls as hard working but without natural flair in mathematics. The characteristics that make it possible to achieve in mathematics are ascribed to males. The resistance to this powerful ‘disciplinary technology’ is the invoking of the feminist discourse.


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