人工智能与教育的深度融合：变革、挑战与未来路径

Deep Integration of Artificial Intelligence and Education: Transformations, Challenges, and Future Pathways

摘要: 人工智能正驱动教育系统性变革。文章基于建构主义、社会文化理论等教育学心理学框架，结合实证数据与政策分析，揭示AI引发教学模式转型、评价体系多元化、师生关系重构及教育公平双重效应等结构性变革。针对技术伦理、数字鸿沟等挑战，提出分层治理策略与教师AI素养发展模型，并前瞻性预测神经适应性学习、教育元宇宙等核心趋势。构建“人类尊严优先”的智能教育生态需政策、技术、伦理协同推进。

Abstract: Artificial intelligence is driving systemic transformation in education. Grounded in pedagogical and psychological frameworks such as constructivism and sociocultural theory, this paper synthesizes empirical data and policy analysis to reveal structural shifts driven by AI: the transformation of teaching models, diversification of evaluation systems, reconfiguration of teacher-student relationships, and dual effects on educational equity. Addressing challenges including technological ethics and the digital divide, it proposes tiered governance strategies and a teacher AI literacy development model while offering forward-looking predictions about core trends like neuro-adaptive learning and the educational metaverse. Building a “Human Dignity-First” intelligent education ecosystem requires coordinated advancement of policy, technology, and ethics.