Adaptive learning system using automatically-rated problems and pupils

This is an online learning system that adapts to a user's progress. It presents practice problems, each linked to specific subject areas and having a difficulty rating. After the user answers, the system checks if it's correct, then updates both the user's understanding level for each subject area and the problem's difficulty rating. The system then shows the user their updated understanding level and selects future problems based on what they've already attempted and their current understanding.

Why it matters: Filed before advanced AI could easily generate and automatically tag diverse practice problems. Modern LLMs can now automate the creation and initial rating of problems, and also provide more sophisticated assessment of complex user answers beyond simple correctness, making the system's core feedback loop much more powerful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, database, user interface

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