Using authentic science in climate change education

Q2 Social Sciences
R. Jordan, A. Sorensen, R. Shwom, J. Robinson, Cindy Isenhour, Steven Gray, M. Nucci, Diane Ebert-May
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引用次数: 2

Abstract

ABSTRACT In this article, we argue that engagement with authentic science is a means to mediate trust and motivation in those who are learning about climate change. To illustrate the argument, we provide a curricular example that focuses on authentic climate science data. We conclude with an example of how researchers from multiple disciplines can use model-based reasoning to collaboratively design educational experiences.
在气候变化教育中运用真正的科学
在这篇文章中,我们认为参与真实的科学是调解那些正在学习气候变化的人的信任和动机的一种手段。为了说明这一论点,我们提供了一个课程示例,重点关注真实的气候科学数据。最后,我们用一个例子来说明来自多个学科的研究人员如何使用基于模型的推理来协同设计教育体验。
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
CiteScore
2.30
自引率
0.00%
发文量
15
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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