用AI推动工程教育公平，缩小性别与文化差距
Artificial Intelligence for Inclusive Engineering Education: Advancing Equality, Diversity, and Ethical Leadership
- 基于全球案例构建伦理导向的自适应AI教育模型
- 提升STEM教育可及性，促进性别与文化多样性
- 适合关注教育公平与AI伦理的研究者与政策制定者
人工智能技术通过数据驱动与自适应学习平台，推动工程教育向公平、包容与可持续方向发展。然而，当前在性别平等、跨文化代表性及教育与职业机会获取方面仍存显著差距。本文提出一种符合联合国2030年可持续发展目标（特别是目标5：性别平等，目标10：减少不平等）的AI伦理框架，整合全球范围内的案例研究，构建以伦理领导力与公平数据为基础的融合式解决方案。该模型通过可持续思维评估教育包容性，实证表明其能有效提升STEM教育的可及性与公平性，助力构建全球一体化教育体系。
原文摘要 · Abstract (English)
AI technology development has transformed the field of engineering education with its adaptivity-driven, data-based, and ethical-led learning platforms that promote equity, diversity, and inclusivity. But with so much progress being made in so many areas, there are unfortunately gaps in gender equity, representation in cultures around the world, and access to education and jobs in stem education. The paper describes an ethical approach to using AI technology that supports the United Nations 2030 agenda for sustainability. In particular, this includes both Goal 5--Gender Equity--and Goal 10--Reducing Inequalities. Based on a synthesis strategy using both critical thinking strategies related to case studies around the world using AI-based adaptivity platforms to address equity gaps related to education inclusion. The model presented offers a synthesis solution that includes ethical leadership data-related to equity to measure inclusivity based upon sustainability thinking. The result has demonstrated that using AI technology not only increases inclusivity but promotes equity related to access to education in stem education access. Finally, there are concluding remarks related to transforming education into a global system.
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