Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context. Community-Based Learning, a pedagogy rooted in social work, remains underrepresented in AIED research, particularly within Asia-Pacific contexts. This paper reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development. We examine how community-engaged computing operationalizes human-centered AIED across three dimensions: education, technology, and culture. We contribute a collaborative framework for culturally-aware AIED that fosters multi-stakeholder collaboration while widening participation by dissolving disciplinary silos between social work and computational science.

翻译：人工智能在教育领域（AIED）的研究正迅速扩展，然而技术进步往往缺乏以人为中心的根基以及对文化背景的充分关注。基于社区的学习作为一种植根于社会工作的教学法，在AIED研究中仍未被充分展现，尤其是在亚太地区的背景下。本文报告了跨边界社区学习的实践，其中本科生开发了基于人工智能的解决方案，用于文化遗产保护与可持续发展。我们考察了社区参与式计算如何在教育、技术和文化三个维度上实现以人为本的AIED操作化。我们提出了一种协作框架，用于构建文化感知的AIED，该框架促进多方利益相关者协作，同时通过消除社会工作与计算科学之间的学科壁垒来扩大参与度。