An LLM-based system maps SQL submission errors to concepts in an automatically built course knowledge graph; expert ratings support basic validity but reveal edge-direction and granularity flaws.
Analyz- ing patterns in student sql solutions via levenshtein edit distance,
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From SQL Errors to Concept Gaps: An AI-Powered Knowledge Graph Analytics Platform for Personalized Feedback
An LLM-based system maps SQL submission errors to concepts in an automatically built course knowledge graph; expert ratings support basic validity but reveal edge-direction and granularity flaws.