Abstract
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.