Wang Ming-Te, Degol Jessica L
University of Pittsburgh, 230 South Bouquet Street, Pittsburgh, PA 15260, USA.
Penn State Altoona, 3000 Ivyside Park, Altoona, PA 16601, USA.
Educ Psychol Rev. 2017 Mar;29(1):119-140. doi: 10.1007/s10648-015-9355-x. Epub 2016 Jan 13.
Although the gender gap in math course-taking and performance has narrowed in recent decades, females continue to be underrepresented in math-intensive fields of Science, Technology, Engineering, and Mathematics (STEM). Career pathways encompass the ability to pursue a career as well as the motivation to employ that ability. Individual differences in cognitive capacity and motivation are also influenced by broader sociocultural factors. After reviewing research from the fields of psychology, sociology, economics, and education over the past 30 years, we summarize six explanations for US women's underrepresentation in math-intensive STEM fields: (a) cognitive ability, (b) relative cognitive strengths, (c) occupational interests or preferences, (d) lifestyle values or work-family balance preferences, (e) field-specific ability beliefs, and (f) gender-related stereotypes and biases. We then describe the potential biological and sociocultural explanations for observed gender differences on cognitive and motivational factors and demonstrate the developmental period(s) during which each factor becomes most relevant. We then propose evidence-based recommendations for policy and practice to improve STEM diversity and recommendations for future research directions.
尽管近几十年来,在数学课程修习和成绩方面的性别差距有所缩小,但在科学、技术、工程和数学(STEM)等数学密集型领域,女性的占比仍然较低。职业道路既包括追求职业的能力,也包括运用该能力的动机。认知能力和动机的个体差异也受到更广泛的社会文化因素的影响。在回顾了过去30年心理学、社会学、经济学和教育领域的研究后,我们总结了美国女性在数学密集型STEM领域占比低的六种解释:(a)认知能力,(b)相对认知优势,(c)职业兴趣或偏好,(d)生活方式价值观或工作与家庭平衡偏好,(e)特定领域的能力信念,以及(f)与性别相关的刻板印象和偏见。然后,我们描述了观察到的认知和动机因素上的性别差异的潜在生物学和社会文化解释,并展示了每个因素最相关的发展阶段。接着,我们提出基于证据的政策和实践建议,以改善STEM领域的多样性,并提出未来研究方向的建议。
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