人工智能促进包容性工程教育：推进平等、多样性和伦理领导
Artificial Intelligence for Inclusive Engineering Education: Advancing Equality, Diversity, and Ethical Leadership
AI总结：
本文提出利用人工智能技术促进工程教育中的公平、多样性和伦理领导，通过数据驱动的平台解决教育包容性问题，推动可持续发展目标。
摘要：
人工智能技术的发展已通过其以适应性驱动、数据为基础和以伦理为导向的学习平台，彻底改变了工程教育领域，这些平台促进了公平、多样性和包容性。然而，尽管在许多领域取得了显著进展，但在性别公平、全球文化中的代表性以及STEM教育中的教育和就业机会方面仍然存在差距。本文描述了一种使用人工智能技术的伦理方法，以支持联合国2030可持续发展议程。特别是，这包括目标5——性别公平——和目标10——减少不平等。基于使用基于人工智能的适应性平台进行全球案例研究的综合策略，结合批判性思维策略，以解决与教育包容性相关的公平差距。所提出的模型提供了一种综合解决方案，包括与公平相关的伦理领导数据，以基于可持续性思维来衡量包容性。结果表明，使用人工智能技术不仅增加了包容性，还促进了STEM教育中的教育准入公平性。最后，有关于将教育转变为全球系统的结论性评论。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
