How could learner Aware tools improve concept learning?

When a tutoring system has access to a learner’s knowledge base, it can orchestrate concept learning so as to best build on previous knowledge. Learner-aware concept learning is the process of building on previous conceptual structures in the most efficient way possible, just as an structural engineer keeps track of loads and physical support. In this context, tools for thought might help the user optimize for short semantic distances. Additionally, it could automatically come up with explicit position cues and mental models based on prior knowledge. When new knowledge is also well-structured as a knowledge base, additional graph-theoretic heuristics might guide the optimal path forward.