Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design

• URL: http://arxiv.org/abs/2606.09041v1
• Date: Mon, 08 Jun 2026 05:14:01 GMT
• Title: Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design
• Abstract summary: Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context.<n>Community-Based Learning, a pedagogy rooted in social work, remains underrepresented in AIED research, particularly within Asia-Pacific contexts.<n>This paper reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development.
• Score: 2.5183438774472413
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

Related papers

• AI Advocate: Educational Path to Transform Squads to the Future [1.5188210957326371]
  This paper analyzes the strategic education process aimed at transitioning traditional software development squads into hybrid structures centered on collaborative work between humans and Artificial Intelligence (AI)<n>The objective is to present a report on the education and experience of AI Advocates within a private Brazilian technology company, highlighting key lessons learned and identified challenges.
  arXiv  Detail & Related papers  (2026-05-05T14:26:43Z)
• Bibliometric Mapping of AI-Supported Social Presence in Online Learning Environments: Trends, Collaboration, and Thematic Directions [0.0]
  The study applies citation analysis, co-authorship mapping, institutional analysis, and keyword clustering to 59 Scopus studies.<n>Findings reveal an upward trend in publications since 2020, with research focusing on engagement, AI tools, instructional design, and ethical issues.<n>Ethical concerns related to trust and fairness are emerging but underexplored.
  arXiv  Detail & Related papers  (2026-04-30T02:56:13Z)
• Relational AI in Education: Reciprocity, Participatory Design, and Indigenous Worldviews [0.6825805890534121]
  We re-centre education as relational and frame learner-AI interactions as context-specific relationships.<n>We argue that meaningful educational AI should support learning with others rather than replace them.
  arXiv  Detail & Related papers  (2026-04-21T05:25:11Z)
• Empa: An AI-Powered Virtual Mentor for Developing Global Collaboration Skills in HPC Education [0.6946631212215353]
  Empa is an AI-powered virtual mentor that integrates intercultural collaboration training into undergraduate computing education.<n> Empa guides students through structured activities covering cultural dimensions, communication styles, and conflict resolution.<n>Pilot preparation for deployment in computing courses demonstrates the feasibility of AI-mediated intercultural training.
  arXiv  Detail & Related papers  (2025-11-21T03:52:22Z)
• Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science [48.38628297686686]
  Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture.<n>Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research.<n>We argue that the future of AI within Cognitive Science lies not only in improving performance but also in constructing systems that deepen our understanding of the human mind.
  arXiv  Detail & Related papers  (2025-08-28T11:26:17Z)
• A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks [49.90474228895655]
  Cloud-edge-terminal collaborative intelligence (CETCI) is a fundamental paradigm within the artificial intelligence of things (AIoT) community.<n>CETCI has made significant progress with emerging AIoT applications, moving beyond isolated layer optimization to deployable collaborative intelligence systems.<n>This survey describes foundational architectures, enabling technologies, and scenarios of CETCI paradigms, offering a tutorial-style review for CISAIOT beginners.
  arXiv  Detail & Related papers  (2025-08-26T08:38:01Z)
• Synergizing Self-Regulation and Artificial-Intelligence Literacy Towards Future Human-AI Integrative Learning [92.34299949916134]
  Self-regulated learning (SRL) and Artificial-Intelligence (AI) literacy are becoming key competencies for successful human-AI interactive learning.<n>This study analyzed data from 1,704 Chinese undergraduates using clustering methods to uncover four learner groups.
  arXiv  Detail & Related papers  (2025-03-31T13:41:21Z)
• AI Thinking as a Meaning-Centered Framework: Reimagining Language Technologies Through Community Agency [0.0]
  AI Thinking proposes a meaning-centered framework that would transform technological development.<n>It recognizes that meaningful solutions emerge through the interplay of cultural understanding, community agency, and technological innovation.
  arXiv  Detail & Related papers  (2025-02-19T18:09:24Z)
• Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
  Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal. We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
  arXiv  Detail & Related papers  (2024-04-17T02:57:42Z)
• Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
  We shed light on the intersectional studies of generative AI and adaptive learning. We argue that this union will contribute significantly to the development of the next-stage learning format in education.
  arXiv  Detail & Related papers  (2024-02-02T23:54:51Z)
• Empowering Local Communities Using Artificial Intelligence [70.17085406202368]
  It has become an important topic to explore the impact of AI on society from a people-centered perspective. Previous works in citizen science have identified methods of using AI to engage the public in research. This article discusses the challenges of applying AI in Community Citizen Science.
  arXiv  Detail & Related papers  (2021-10-05T12:51:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.