用生成式AI推动教育公平与创新，提出可落地的实践框架。
Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation
- 构建教育场景下的生成式AI应用框架，支持个性化学习。
- 揭示算法偏见与数据隐私风险，强调以人为本的设计。
- 适合教育政策制定者、教师及AI开发者参考。
生成式AI正通过个性化学习、提升管理效率和促进创造性参与，重塑教育模式。本文探讨此类工具在教学法中的机遇与挑战，提出应对现有教育不平等的可行框架。重点强调算法偏见、数据隐私及人工智能在以人为本教育中的角色。研究指出，负责任地整合AI技术，是保障教育系统可及性、公平性与创新性的关键。
原文摘要 · Abstract (English)
Generative AI is transforming education by enabling personalized learning, enhancing administrative efficiency, and fostering creative engagement. This paper explores the opportunities and challenges these tools bring to pedagogy, proposing actionable frameworks to address existing equity gaps. Ethical considerations such as algorithmic bias, data privacy, and AI role in human centric education are emphasized. The findings underscore the need for responsible AI integration that ensures accessibility, equity, and innovation in educational systems.
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