Socratic QUESTIONING

Socratic questioning, a teaching method guiding learners to discover solutions independently through carefully crafted questions, is being actively researched for automated implementation using large language models (LLMs). Current research focuses on developing algorithms, such as hierarchical question trees and divide-and-conquer approaches, to generate effective and contextually relevant questions that avoid directly providing answers, while also optimizing LLMs to minimize the generation of invalid or unhelpful questions through techniques like data augmentation and preference optimization. This work holds significant potential for improving educational tools and personalized learning experiences, particularly in fields like code debugging and mathematics problem-solving, as well as offering new avenues for exploring human-computer interaction in therapeutic settings.