LLMs for Culturally Relevant K-12 Pedagogy

Explores LLMs to support K-12 teachers in designing culturally relevant pedagogy. An exploratory pilot with four K-12 teachers found the CulturAIEd tool enhanced teachers' confidence in identifying opportunities for cultural responsiveness in learning activities and in making culturally responsive modifications to existing activities. Addresses equity gaps in AI educational tools by centering culturally relevant content.

Key Findings

CulturAIEd is an LLM-powered system designed to help teachers contextualize AI literacy activities through Culturally Relevant Pedagogy (CRP) principles, combining student demographic characteristics with rubric-driven guidance in the generative process.

Teachers struggle to implement CRP due to time, training, and resource gaps; the study asks whether LLMs can lower these barriers (RQ1: influence on teachers' ability to design culturally responsive AI literacy activities; RQ2: perceived strengths and opportunities of such tools).

In an exploratory pilot with four K-12 teachers, CulturAIEd enhanced teachers' confidence in identifying opportunities for cultural responsiveness in learning activities and in making culturally responsive modifications to existing activities.

Teachers valued the streamlined integration of student demographic information and immediate actionable feedback, which they associated with high implementation efficiency.

The study positions this as among the first efforts to empower K-12 educators to design culturally responsive AI literacy activities with low effort using LLMs, situating AI as a partner in CRP.

Study Design & Method

The study combines a design component — building CulturAIEd around CRP/CRT frameworks, including a CRT checklist and demographic customization layered into the LLM's generative process — with an exploratory pilot conducted in preparation for a future mixed-methods study. The pilot with four K-12 teachers examined how the tool influenced their confidence, efficiency, and pedagogical strategies in making learning activities culturally responsive. The authors situate the work against Ladson-Billings' CRP framework (academic success, cultural competence, sociopolitical consciousness) and Geneva Gay's Culturally Responsive Teaching.

Implications for AI in Education

The findings suggest LLMs can help teachers integrate culturally relevant components into instructional practice efficiently, directly addressing common implementation barriers of limited time, curricular rigidity, and discomfort with cultural topics. Because AI literacy is an emerging subject with few resources tailored to diverse cultural and demographic contexts, tools like CulturAIEd point toward culturally adaptive AI curricula rather than the generalized approaches that dominate current programs. The work connects Culturally Relevant Pedagogy, AI Literacy, and K 12 teacher support, with implications for Teacher Role and Curriculum Design practice.

Connected Concepts

Culturally Relevant Pedagogy

AI Literacy

K 12 AI Education

Curriculum Design

Teacher AI Competency

Teacher Role

Student Experience

Equity In AI Education

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Citation

Wang, J., Xiao, R., Hou, X., Li, H., Tseng, Y. J., Stamper, J., & Koedinger, K. (2025). LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. arXiv:2505.08083.