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Injecting symbolic educational rules into deep learning models doesn't just boost performance in knowledge tracing; it also unlocks interpretability and reveals the hidden influence of incorrect answers on student learning.
Effective GenAI-mediated language learning hinges on *when* feedback is given, not just *what* feedback is given: high-progress learners benefited from corrective prompts immediately following their responses.
