Abstract: Intelligent learning scaffolding, empowered by intelligent technologies, holds the potential to construct diverse and differentiated scaffolds tailored to students with varying individual characteristics. Its precise configuration is key to realizing the goals of personalized education. This paper begins by clarifying the core concepts of intelligent learning scaffolding, then proposes a four-layer collaborative framework for its personalized configuration. An execution pipeline is designed, encompassing situational awareness and needs analysis, task planning, and tool scheduling, scaffold generation, and push monitoring, as well as continuous feedback and dynamic adjustment. Finally, the paper discusses the safeguard mechanisms from the perspectives of data security and privacy protection, data governance, and teacher intervention.