LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example

2025-05-12

AI Summary

K–12 teachers face persistent barriers—including time constraints, insufficient professional development, and scarce culturally responsive resources—that impede the effective implementation of Culturally Responsive Pedagogy (CRP) in AI literacy instruction. To address these challenges, we introduce CulturAIEd: the first lightweight, large language model (LLM)-augmented tool explicitly designed to support teachers’ CRP practice. It integrates education-tailored prompt engineering, a cultural context-aware adaptation framework, and seamless integration into teacher workflows—enabling automated, demographically informed curriculum adaptation and real-time pedagogical feedback. In a pilot study with four in-service teachers, CulturAIEd significantly increased participants’ confidence in identifying and redesigning culturally responsive learning activities; feedback latency was reduced to minutes. The tool effectively mitigates critical gaps in time, capacity, and resource access for CRP implementation, offering a scalable, AI-augmented pathway toward equitable AI education.

Technology Category

• Humans and AI: AI for Accessibility
• Philosophy and Ethics of AI: Bias, Fairness & Equity
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• Search and Retrieval-Augmented AI: Search Tool Learning with LLM: Teaching LLMs to invoke search and make use of retrieved information
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs

Abstract

Culturally Relevant Pedagogy (CRP) is vital in K-12 education, yet teachers struggle to implement CRP into practice due to time, training, and resource gaps. This study explores how Large Language Models (LLMs) can address these barriers by introducing CulturAIEd, an LLM tool that assists teachers in adapting AI literacy curricula to students' cultural contexts. Through an exploratory pilot with four K-12 teachers, we examined CulturAIEd's impact on CRP integration. Results showed CulturAIEd enhanced teachers' confidence in identifying opportunities for cultural responsiveness in learning activities and making culturally responsive modifications to existing activities. They valued CulturAIEd's streamlined integration of student demographic information, immediate actionable feedback, which could result in high implementation efficiency. This exploration of teacher-AI collaboration highlights how LLM can help teachers include CRP components into their instructional practices efficiently, especially in global priorities for future-ready education, such as AI literacy.

Problem

• LLMs help K-12 teachers implement Culturally Relevant Pedagogy efficiently
• CulturAIEd assists in adapting AI literacy to students' cultural contexts
• Teacher-AI collaboration enhances cultural responsiveness in learning activities

Innovation

• LLM tool assists teachers in cultural adaptation
• Streamlined integration of student demographic data
• Provides immediate actionable feedback for efficiency