Coursera:2025年弥合生成式AI技能性别鸿沟:学习及应用生成式人工智能女性赋权研究报告(英文版).pdf |
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From an early age, cultural messaging shapes perceptions of who “belongs” in technology fields.4 Girls are less likely to be encouraged toward STEM subjects,5 and this bias continues into higher education and careers, where women remain underrepresented in technology fields. Without targeted interventions to challenge these stereotypes—such as inclusive curriculum design and diverse representation in GenAI education—these biases continue to shape learning behaviors and career trajectories. 2.
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