Using social network analysis to explore and expand our understanding of a robust environmental learning landscape

被引:14
作者
Wojcik, Deborah J. [1 ,2 ,3 ]
Ardoin, Nicole M. [1 ,2 ]
Gould, Rachelle K. [1 ,2 ,4 ]
机构
[1] Stanford Univ, Grad Sch Educ, Stanford, CA 94305 USA
[2] Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA
[3] Duke Univ, Pratt Sch Engn, Durham, NC 27708 USA
[4] Univ Vermont, Environm Program, Rubenstein Sch Environm & Nat Resources, Burlington, VT USA
关键词
Environmental learning; community environmental education; social network analysis; social-ecological systems; sense of place; ECOLOGICAL SYSTEMS; MANAGEMENT; COLLABORATION; ACQUISITION; INNOVATION; FRAMEWORK; STRENGTH; PLACE; SENSE; TIES;
D O I
10.1080/13504622.2021.1905779
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Environmental learning occurs through an interconnected web of opportunities. Some arise via organizations with sustainability- or environmental learning-focused missions, while others are facilitated by organizations focused on impacts and outcomes in a range of areas, such as health, social justice, or the arts. To better understand the richness of the community environmental learning landscape, we pursued a social network analysis in one place, the greater San Francisco Bay Area, California, USA. We collected quantitative and qualitative data from 256 organizations, resulting in a network of 950 organizations connected to environmental learning opportunities within the region. Our findings demonstrate that, although self-identified environmental learning providers may comprise the network's core, the network also includes less-expected providers, primarily around the edges. Those providers often connect with related fields, such as youth development, public safety, or the arts, among others, forming a complex environmental learning landscape. We suggest opportunities to daylight and enhance the efficacy of collaborations among organizations to advance diverse and reinforcing interests. Moreover, we suggest that a network analysis approach is useful for understanding how organizations relate to each other through their connections and collaborations, providing community members with a robust ecosystem of lifelong learning supports.
引用
收藏
页码:1263 / 1283
页数:21
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