iPlan:构建土地利用影响本地化简化模型的平台

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2024-04-10 DOI:10.3390/mti8040030
A. Ruis, Carol Barford, Jais Brohinsky, Yuanru Tan, Matthew Bougie, Zhiqiang Cai, Tyler J. Lark, David Williamson Shaffer
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引用次数: 0

摘要

为了帮助年轻人了解社会环境系统,并树立采取有意义的行动来解决社会环境问题的信心,年轻人需要互动式模拟,使他们能够在熟悉的环境中采取相应的行动,并看到结果。这可以通过具有适当用户界面的简化模型来实现,但要构建一个能够制作社会环境系统教育模型的系统,使其既可本地化、可定制,又便于教育者和学习者使用,则是一项巨大的挑战。在本文中,我们将介绍 iPlan,这是一个免费的在线教育软件应用程序,旨在帮助教育工作者和初高中学生创建定制的、本地化的土地利用模拟模型,用于构建、探索和解决复杂的土地利用问题。我们详细介绍了该应用软件及其底层计算模型,并提供了有力证据证明 iPlan 模拟的准确性适合教育环境,同时还提供了初步证据证明教育工作者能够制作出适合其教学目标和学习者群体的模拟。
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iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts
To help young people understand socio-environmental systems and develop the confidence that meaningful action can be taken to address socio-environmental problems, young people need interactive simulations that enable them to take consequential actions in a familiar context and see the results. This can be achieved through reduced-form models with appropriate user interfaces, but it is a significant challenge to construct a system capable of producing educational models of socio-environmental systems that are localizable and customizable but accessible to educators and learners. In this paper, we present iPlan, a free, online educational software application designed to enable educators and middle- and high-school-aged learners to create custom, localized land-use simulations that can be used to frame, explore, and address complex land-use problems. We describe in detail the software application and its underlying computational models, and we present robust evidence that the accuracy of iPlan simulations is appropriate for educational contexts and preliminary evidence that educators are able to produce simulations suitable for their pedagogical goals and learner populations.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
期刊最新文献
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