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Styles of Cognition: Girls Learning Mathematics Women Choosing IT

机译:认知方式:学习数学的女性妇女选择IT

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摘要

Mathematics is a human construction and learning mathematics is a social process (Ernest, 1991). Western society is saturated with numbers. Quantification, rationality and abstraction are intricately connected, increasingly embedded and highly valued in our scientific and technological world. Competence in mathematics has long been identified as a critical skill directly related to educational and occupational choices. Yet compared with men, fewer women elect to take advanced-level mathematics courses. If mathematics is presented in a way that alienates many girls, as suggested by twenty years of gender and mathematics research, then many women may continue not to pursue technical careers, including IT. If constructed knowing is women's preference, then, and assuming we want them to know, we need to present mathematics, along with other technical disciplines, to women in a different way and accept another way of knowing. Quantitative-oriented courses such as mathematics can open the gates or block the way for female students interested in scientific and technical careers. Increasing our understanding of course enrollment patterns and career decisions is a crucial first step in designing appropriate intervention strategies for the under-representa-tion of women in IT.
机译:数学是人类的建构,学习数学是一个社会过程(Ernest,1991)。西方社会充满了数字。量化,合理性和抽象在我们的科学技术世界中错综复杂地联系在一起,越来越被嵌入和高度重视。长期以来,数学能力一直被认为是与教育和职业选择直接相关的一项关键技能。然而,与男性相比,选择参加高级数学课程的女性更少。如果按照二十多年的性别和数学研究的建议,以一种疏远许多女孩的方式来介绍数学,那么许多女性可能会继续不从事包括IT在内的技术职业。如果对女性的偏好是天生的知识,那么,假设我们想让她们知道,我们就需要以其他方式向女性展示数学以及其他技术学科,并接受另一种认识方式。诸如数学之类的量化课程可以为对科学和技术职业感兴趣的女学生打开大门或阻塞道路。在设计适当的干预策略以解决IT中女性代表性不足的过程中,至关重要的第一步是加深我们对课程注册模式和职业决策的了解。

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