Teacher Explanation

Effective teacher explanation, crucial for student learning, is a burgeoning research area focusing on how to best transfer knowledge from a "teacher" model (e.g., a large language model or a complex neural network) to a "student" model (a smaller, simpler model or a human learner). Current research emphasizes aligning the teacher's representation of the information with the student's understanding, often using techniques like knowledge distillation enhanced by explanations or chain-of-thought prompting. This work aims to improve learning outcomes by ensuring students learn "the right things for the right reasons," with implications for both machine learning and human education.