Classroom AI: Large Language Models as Grade-Specific Teachers

This paper presents a framework for finetuning LLMs to generate grade-appropriate educational content across six grade levels (lower elementary through adult), evaluating the pedagogical quality and age-appropriateness of AI-generated explanations using readability metrics and human evaluation with 208 participants.

Large Language Models (LLMs) offer a promising solution to complement traditional teaching and address global teacher shortages that affect hundreds of millions of children, but they fail to provide grade-appropriate responses for students at different educational levels. We introduce a framework for finetuning LLMs to generate age-appropriate educational content across six grade levels, from lower elementary to adult education. Our framework successfully adapts explanations to match students'co

Source

Framework Categories

Tool Types

Tags