Please use this identifier to cite or link to this item:
Title: Localizing Socio-Environmental Problem Solving
Authors: Ruis, A. R.
Siebert-Evenstone, Amanda L.
Brohinsky, Jais
Tan, Yuanru
Hinojosa, Cesar L.
Cai, Zhiqiang
Marquart, Cody L.
Lark, Tyler J.
Barford, Carol
Shaffer, David Williamson
Keywords: CSCL
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Ruis, A. R., Siebert-Evenstone, A. L., Brohinsky, J., Tan, Y., Hinojosa, C. L., Cai, Z., Marquart, C. L., Lark, T. J., Barford, C., & Shaffer, D. W. (2022). Localizing socio-environmental problem solving. In Weinberger, A. Chen, W., Hern├índez-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 459-462). International Society of the Learning Sciences.
Abstract: In this paper, we describe iPlan, a web-based software platform for constructing localized, reduced-form models of land-use impacts, enabling students, civic representatives, and others without specialized knowledge of land-use planning practices to explore and evaluate possible solutions to complex, multi-objective land-use problems in their own local contexts.
Description: Tech Innovation
Appears in Collections:ISLS Annual Meeting 2022

Files in This Item:
File SizeFormat 
CSCL2022_459-462.pdf345.89 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.