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RegulaTutor: A Theory-Informed Framework for Long-Term Personalized Learning
Long-term personalized tutoring requires language models to translate a learner's evolving history into appropriate instructional support. Existing LLM-based tutoring systems use memory and retrieval to personalize responses, but the pedagogical rationale linking historical evidence to teaching stra
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