{"title":"Examining cognitive sex differences in elite math intensive education: Preliminary evidence from a gender inequitable country","authors":"Varsha Singh , Sonika Thakral , Kunal Singh , Rahul Garg","doi":"10.1016/j.tine.2022.100172","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>It is unclear how cognitive control accounts for academic performance in math-intensive higher education and how it links to male over-representation in math-intensive education in gender-inequitable countries.</p></div><div><h3>Purpose</h3><p>To examine the link between cognitive control and math-intensive education with a focus on male overrepresentation by using cognitive performance (task and construct level) to account for academic grades, and examining sex-specificity in cognitive performance (task and construct level), and using sex-differences in cognitive performance to account for academic grades.</p></div><div><h3>Results</h3><p><span>Four hierarchical regressions were used (two using task scores and two summed scores) with predictors entered in 3 blocks (working memory, flexibility, inhibition) to explain academic performance (bootstrapped sampling at 2000 samples; </span><em>N</em><span> = 39; males =69%). Task-level analysis (Corsi span & mental rotation) and construct-level analysis indicate working memory as a significant predictor of grades, model-fit improved for all-male sample. Results of analysis of variance using the performance of 183 students on four cognitive tasks (</span><em>N</em> = 183; males = 81%) showed high scores of working memory task and decision-making task among male participants; female scores were higher in a task assessing planning/cognitive flexibility and in the inhibition task. Differences in the two hierarchical regressions indicated that planning/cognitive flexibility accounts for the academic performance of the male-female mixed sample; however, working memory, most importantly decision-making related to risk and uncertainty, accounts for the academic performance of the all-male sample.</p></div><div><h3>Conclusion</h3><p>Similar to developing countries, working memory and decision making might contribute to academic performance, potentially explaining male over-representation in math-intensive higher education. Academic grades might disproportionately rely on working memory and risky decision-making; equal emphasis and inclusive development of all components of cognitive control via academic curriculum and assessment might improve diversity in math-intensive higher education.</p></div>","PeriodicalId":46228,"journal":{"name":"Trends in Neuroscience and Education","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Neuroscience and Education","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211949322000011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 4
Abstract
Background
It is unclear how cognitive control accounts for academic performance in math-intensive higher education and how it links to male over-representation in math-intensive education in gender-inequitable countries.
Purpose
To examine the link between cognitive control and math-intensive education with a focus on male overrepresentation by using cognitive performance (task and construct level) to account for academic grades, and examining sex-specificity in cognitive performance (task and construct level), and using sex-differences in cognitive performance to account for academic grades.
Results
Four hierarchical regressions were used (two using task scores and two summed scores) with predictors entered in 3 blocks (working memory, flexibility, inhibition) to explain academic performance (bootstrapped sampling at 2000 samples; N = 39; males =69%). Task-level analysis (Corsi span & mental rotation) and construct-level analysis indicate working memory as a significant predictor of grades, model-fit improved for all-male sample. Results of analysis of variance using the performance of 183 students on four cognitive tasks (N = 183; males = 81%) showed high scores of working memory task and decision-making task among male participants; female scores were higher in a task assessing planning/cognitive flexibility and in the inhibition task. Differences in the two hierarchical regressions indicated that planning/cognitive flexibility accounts for the academic performance of the male-female mixed sample; however, working memory, most importantly decision-making related to risk and uncertainty, accounts for the academic performance of the all-male sample.
Conclusion
Similar to developing countries, working memory and decision making might contribute to academic performance, potentially explaining male over-representation in math-intensive higher education. Academic grades might disproportionately rely on working memory and risky decision-making; equal emphasis and inclusive development of all components of cognitive control via academic curriculum and assessment might improve diversity in math-intensive higher education.