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

研究：教师弥合“文化距离”以调整生成式AI用于课堂

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

一项发表在arXiv上的新定性研究探讨了生成式AI在K-12课堂采用背景下的“文化距离”概念。该研究基于对南非、台湾和美国30名教师的访谈，确定了教师为使AI输出适应当地教学需求所需付出的三个层级的努力：低程度努力用于微小编辑，中等程度努力用于持续提示和修改，高程度努力用于无法克服的结构性差距。该研究提出将文化距离作为一个框架，以理解教师在整合可能与其特定文化和实践需求不符的AI工具时所面临的挑战。 AI

影响强调了AI工具需要更好地适应教育领域多样化的文化和教学背景。

排序理由关于AI在教育领域应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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Signal score: 17 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Qing Xiao, Ruiwei Xiao, Hanqi Jane Li, Phenyo Phemelo Moletsane, Xinying Hou, John Stamper, Hong Shen · 2026-10-28 04:00

K-12教师如何根据当地课堂需求调整生成式AI：生成式AI默认设置与日常教学实践之间的文化距离

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…

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报道来源 [1]

K-12教师如何根据当地课堂需求调整生成式AI：生成式AI默认设置与日常教学实践之间的文化距离

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