Scaling the Authoring of AutoTutors with Large Language Models

arXiv:2402.09216v1 Announce Type: new
Abstract: Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent Tutoring Systems. A common pitfall of LLMs is their straying from desired pedagogical strategies such as leaking the answer to the student, and in general, providing no guarantees. We posit that while LLMs with certain guardrails can take the place …

abstract arxiv author cases cs.cl cs.hc education essay evaluation explore found intelligent language language models large language large language models llms paper question scaling systems tutoring type use cases