Skip to content

Three boundary-spanning events linking field data to community impact (field co-design, collaborative alignment, mutual validation)

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 qualitative), q1 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The CBL course is structured as three structured occasions traversing institutional interfaces: Week 3 field co-design generating museum digital assets, Week 4 collaborative alignment of proposals with four SDGs (4, 8, 11, 17), and Week 7 mutual validation where "validation criteria are negotiated between stakeholders." The pattern links museum field data through student-created materials to intended community outcomes, followed by co-dissemination via open-source release and student co-authorship.

Design Implications

Context

Requirements

  • A community partner selected for geographic proximity, mission alignment, and expressed need
  • Boundary-spanning events at planned weeks of the course

Constraints

  • Validated in one 7-week course with two students and one museum

Target Learners

  • Undergraduate students in community-based learning courses

Learning Goals

  • Participatory design with community stakeholders
  • Aligning technical projects with sustainable development goals

Claims

Examples

-

Key Sources

  • Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, and Luyao Zhang. (2026). Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design. https://arxiv.org/abs/2606.09041
Page metadata
Field Value
type design
id three-boundary-spanning-events-cbl
title Three boundary-spanning events linking field data to community impact (field co-design, collaborative alignment, mutual validation)
description The CBL course is structured as three structured occasions traversing institutional interfaces: Week 3 field co-design generating museum digital assets, Week 4 collaborative alignment of proposals with four SDGs (4, 8...
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — jiaojiao-zhao-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.