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Study: Teachers bridge "cultural distance" to adapt GenAI for classrooms

A new qualitative study published on arXiv explores the concept of "cultural distance" in the context of generative AI adoption in K-12 classrooms. The research, based on interviews with 30 teachers across South Africa, Taiwan, and the United States, identifies three levels of teacher effort required to adapt AI outputs to local teaching demands: low effort for minor edits, mid-level effort for sustained prompting and revision, and high effort for structural gaps that cannot be overcome. The study proposes cultural distance as a framework to understand the challenges teachers face when integrating AI tools that may not align with their specific cultural and practical needs. AI

IMPACT Highlights the need for AI tools to be more adaptable to diverse cultural and pedagogical contexts in education.

RANK_REASON Academic paper on AI adoption in education. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Study: Teachers bridge "cultural distance" to adapt GenAI for classrooms

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Academic paper on AI adoption in education. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qing Xiao, Ruiwei Xiao, Hanqi Jane Li, Phenyo Phemelo Moletsane, Xinying Hou, John Stamper, Hong Shen ·

    How K-12 Teachers Adapt Generative AI to Local Classroom Demands: Cultural Distance Between GenAI Defaults and Everyday Teaching Practices

    arXiv:2509.10780v2 Announce Type: replace-cross Abstract: Generative AI (GenAI) is entering K-12 classrooms, but its default culture does not always fit local teaching. Existing accounts either treat this misfit as macro-level structural bias or examine it through single-case stu…