Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6644
Title: NetLogo Mobile: An Agent-Based Modeling Platform and Community for Learners, Teachers, and Researchers
Authors: Chen, John
Wilensky, Uri
Keywords: Scale
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Chen, J. & Wilensky, U. (2020). NetLogo Mobile: An Agent-Based Modeling Platform and Community for Learners, Teachers, and Researchers. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 5 (pp. 2633-2634). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: NetLogo is a powerful tool to foster computational thinking with complex systems. This poster reports on NetLogo Mobile, designed for ubiquitous learning and massive scaling of the NetLogo platform and the community. We discuss the challenges in design and responses. Through employing the adaptive design, making the creation continuum, and extending support for the community, we empower a variety of stakeholders to create models and curricula for localized needs, embracing learning designs and social behaviors to emerge.
URI: https://doi.dx.org/10.22318/icls2020.2633
https://repository.isls.org//handle/1/6644
Appears in Collections:ICLS 2020

Files in This Item:
File SizeFormat 
2633-2634.pdf238.87 kBAdobe PDFView/Open


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