Assessing LLMs' Understanding of Instructional Discourse

This research investigates the capability of Large Language Models (LLMs) to understand instructional moves within educational discourse, a critical area for AI in education. Establishing baselines in this domain helps to evaluate the current capabilities of LLMs and identify areas for improvement in their understanding of teaching strategies.

• •The paper explores the ability of LLMs to recognize instructional moves.
• •The research aims to establish baselines for understanding in educational contexts.
• •This work contributes to understanding LLMs' abilities in educational applications.