LLMs can be designed to use curiosity-driven language to significantly increase learner engagement and exploratory behavior in tutoring dialogues.

In plain terms

This paper explores how Large Language Models (LLMs), which are advanced AI systems that can generate human-like text, can be used to make learning more engaging. Instead of just giving answers, the goal was to see if LLMs could encourage students to explore topics more deeply on their own. Researchers created a framework called CURIOBOT that uses specific conversational tactics, known as "linguistic interventions," designed to spark curiosity, like introducing novelty or uncertainty into the dialogue. They tested CURIOBOT in many tutoring conversations, using different LLMs and across various subjects. They found that these curiosity-focused interventions consistently increased "exploratory learner behaviors"; students engaged in up to 2.4 times more conversational turns within a fixed time, showing greater interaction. This suggests that fostering curiosity is a powerful way for AI tutors to improve how students interact with and learn from material, independent of just delivering information.