AI has redefined the boundaries of assistance in education, often blurring the line between guided learning and dependency. This paper revisits Vygotsky's Zone of Proximal Development (ZPD) through the lens of the P2P Teaching framework. By contrasting temporary scaffolding with the emerging phenomenon of permanent digital mediation, the study introduces the concept of the Zone of No Development (ZND), a state in which continuous assistance replaces cognitive struggle and impedes intellectual autonomy. Through theoretical synthesis and framework design, P2P Teaching demonstrates how deliberate disconnection and ethical fading can restore the learner's agency, ensuring that technological tools enhance rather than replace developmental effort. The paper argues that productive struggle, self-regulation, and first-principles reasoning remain essential for durable learning, and that responsible use of AI in education must include explicit mechanisms to end its help when mastery begins.
翻译:人工智能重新界定了教育辅助的边界,常常模糊引导学习与依赖之间的界限。本文通过P2P教学框架的视角,重新审视维果茨基的最近发展区理论。通过对比临时性支架与新兴的永久性数字中介现象,本研究提出了无发展区的概念,即持续辅助取代认知挣扎并阻碍智力自主的状态。通过理论综合与框架设计,P2P教学展示了如何通过有意的断开连接和伦理淡出恢复学习者的主体性,确保技术工具增强而非替代发展性努力。本文论证了有效挣扎、自我调节和第一性原理推理对于持久学习仍然至关重要,且教育中负责任地使用人工智能必须包含明确机制,以在掌握开始时终止其辅助。