ACM Technical Symposium on Computer Science Education (SIGCSE 2024)
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2024
Pedagogical Socratic Feedback Generation in Computer Science Education using Fine-Tuned CodeLLMs
Automated grading tools frequently reveal solution code prematurely, robbing students of critical problem-solving epiphanies. We present Socrates-Code, a fine-tuned 14B model that generates tiered heuristic questions instead of answers. Longitudinal evaluations across 3 semesters of Algorithms courses demonstrated a 28% increase in retention and debugging proficiency.