This system takes an existing math problem, breaks it down to identify its core mathematical ideas, which it calls concept line items. It then uses a stored database of these concepts and their relationships to automatically create new, related math problems. The invention specifically relies on having a pre-built database of mathematical concepts and how they connect to each other.
Why it matters: Filed before large language models (LLMs) could perform sophisticated concept extraction and problem generation. LLMs can now significantly simplify the "mathematical rules engine" and the dynamic construction of problems from concepts, which was a much harder task in 2016.
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