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Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, Women
arXiv - CS - Computers and Society Pub Date : 2020-03-26 , DOI: arxiv-2003.11746
Yana Samuel, Jean George and Jim Samuel

In spite of the rapidly advancing global technological environment, the professional participation of women in technology, big data, analytics, artificial intelligence and information systems related domains remains proportionately low. Furthermore, it is of no less concern that the number of women in leadership in these domains are in even lower proportions. In spite of numerous initiatives to improve the participation of women in technological domains, there is an increasing need to gain additional insights into this phenomenon especially since it occurs in nations and geographies which have seen a sharp rise in overall female education, without such increase translating into a corresponding spurt in information systems and technological roles for women. The present paper presents findings from an exploratory analysis and outlines a framework to gain insights into educational factors in the emerging technology waves influencing the role of, and impact upon, women. We specifically identify ways for learning and self-efficacy as key factors, which together lead us to the Advancement of Women in Technology (AWT) insights framework. Based on the AWT framework, we also proposition principles that can be used to encourage higher professional engagement of women in emerging and advanced technologies. Key Words- Women's Education, Technology, Artificial Intelligence, Knowing, Confidence, Self-Efficacy, Learning.

中文翻译:

除了 STEM,女性如何参与大数据、分析、机器人和人工智能?对影响女性角色和影响的新兴技术浪潮中的信心和教育因素的探索性分析

尽管全球技术环境迅速发展,但女性在技术、大数据、分析、人工智能和信息系统相关领域的专业参与比例仍然很低。此外,同样令人担忧的是,在这些领域担任领导职务的女性人数比例甚至更低。尽管有许多举措来提高女性在技术领域的参与度,但越来越需要深入了解这一现象,特别是因为它发生在整体女性教育急剧上升的国家和地区,而没有这种增长转化为进入信息系统和女性技术角色的相应突增。本文介绍了探索性分析的结果,并概述了一个框架,以深入了解影响女性角色和影响的新兴技术浪潮中的教育因素。我们特别将学习和自我效能感的方式确定为关键因素,这些因素共同将我们引导到技术女性进步 (AWT) 洞察框架。基于 AWT 框架,我们还提出了一些原则,可用于鼓励女性在新兴和先进技术中的更高专业参与度。关键词——女性教育、技术、人工智能、知识、自信、自我效能、学习。我们特别将学习和自我效能感的方式确定为关键因素,这些因素共同将我们引导到技术女性进步 (AWT) 洞察框架。基于 AWT 框架,我们还提出了一些原则,可用于鼓励女性在新兴和先进技术中的更高专业参与度。关键词——女性教育、技术、人工智能、知识、自信、自我效能、学习。我们特别将学习和自我效能感的方式确定为关键因素,这些因素共同将我们引导到技术女性进步 (AWT) 洞察框架。基于 AWT 框架,我们还提出了一些原则,可用于鼓励女性在新兴和先进技术中的更高专业参与度。关键词——女性教育、技术、人工智能、知识、自信、自我效能、学习。
更新日期:2020-03-27
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