STEAM Stories: A Co-creation Approach to Building STEAM Skills through Stories of Personal Interest

Q3 Social Sciences
Christina Zorenböhmer, Eva Missoni-Steinbacher, P. Jeremias, U. Öttl, Bernd Resch
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引用次数: 0

Abstract

The ever-increasing digitalization of our everyday lives repeatedly and prominently sparks discussion about the need for STEAM (Science, Technology, Engineering, Arts, Mathematics) skills. In terms of education, STEAM initiatives focus on skills development and the use of digital technologies to stimulate students’ engagement with societal issues. This paper introduces an iterative co-creation-based approach for enabling and enriching STEAM learning experiences. Our goal is to foster young citizen scientists by having them share and discuss stories of personal interest and experience, while practising and improving their STEAM skills through local engagement. The young citizen scientists contribute to all phases of a story, including its co-creation and conception, data collection, discussion in workshops, and generating outputs relevant to local and regional policymakers. The particular spatial focus of the approach is in the places where the stories take place. The stories are uploaded to a map-based platform, which is used for data collection and visualization, and as a focus for discussion. Through personal involvement, the young citizen scientists are motivated, which fosters local ownership, sustainable use of the platform, and effective capacity building in digital skills.
STEAM故事:通过个人兴趣故事建立STEAM技能的共同创造方法
我们日常生活中不断增加的数字化反复而突出地引发了对STEAM(科学、技术、工程、艺术、数学)技能需求的讨论。在教育方面,STEAM计划侧重于技能发展和数字技术的使用,以激发学生参与社会问题。本文介绍了一种基于共同创造的迭代方法,用于实现和丰富STEAM学习经验。我们的目标是培养年轻的公民科学家,让他们分享和讨论个人兴趣和经历的故事,同时通过当地参与练习和提高他们的STEAM技能。这些年轻的公民科学家为一个故事的所有阶段做出贡献,包括共同创作和构思、数据收集、研讨会讨论,以及产生与当地和区域决策者相关的产出。该方法的特殊空间焦点是故事发生的地方。这些故事被上传到一个基于地图的平台,用于数据收集和可视化,并作为讨论的焦点。通过个人参与,青年公民科学家受到激励,从而促进地方自主、可持续利用平台和有效的数字技能能力建设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
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