揭示气候变化传播中基于地点的教育的力量

Q2 Social Sciences
Akriti Khadka, C. Li, S. W. Stanis, M. Morgan
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引用次数: 18

摘要

气候变化是环境史上最具争议的问题之一,因为自然过程和人类活动导致了因果关系。这种复杂性经常阻碍沟通和教育的努力。一些研究表明,基于地点的方法对于提供气候变化指导是有效的,因为它们具有局部和可观察到的影响,从而将人类行为与气候变化联系起来。本研究采用单组、测试前和测试后设计,开发并评估了基于地点的气候变化教育计划的效果。这项研究涉及29名高中生,他们参加了密苏里州中部草原福克保护区为期一周的暑期教育项目。使用基于地点的教育可以提高参与者对气候变化的知识、意识、责任、希望和行为意愿。结果表明,该计划是提高对气候变化认识的有效途径,各种措施的显著增加证明了这一点。本文还讨论了使用在地教育的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unpacking the power of place-based education in climate change communication
Abstract Climate change is the one of the most controversial issues in environmental history since natural processes and human activities lead to causation. This complexity often thwarts communication and education efforts. Some research suggests that place-based approaches are effective for delivering climate change instruction because they feature local and observable impacts, thus connecting human behavior with climate change. This study developed and evaluated the efficacy of a place-based climate change education program using a one-group, pre and posttest design. The study involved 29 high-school students who participated in a one-week, summer education program at Prairie Fork Conservation Area in mid-Missouri. Use of place-based education was hypothesized to promote knowledge, awareness, responsibility, hope, and behavioral intention of participants regarding climate change. Results suggested that the program was an effective way to increase understanding of climate change, as evidenced by significant increases in a variety of measures. Implications for using place-based education are discussed.
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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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