课题基金 / 基金详情

WeatherBlur

WeatherBlur
天气模糊
批准号:
1203005
负责人:
Ruth Kermish-Allen
金额:
$14.94万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-01 至 2014-06-30
关键词:

项目摘要

项目成果

Ruth Kermish-Allen的其他基金

相关文献

中文摘要
翻译
WeatherBlur是一个为期两年的Track 1项目,旨在提高公众对地球系统的科学素养,促进利益相关者之间的对话,并促进未来地球科学劳动力的发展。WeatherBlur以教师专业发展和K-8学生参与的成熟模式为基础,设计、开发和评估了从儿童到成人的整个地球科学学习框架的有效性。该项目的中心是创建一个无等级、以地点为基础的学习社区模式,以影响所有学习者的地球系统科学素养和整体科学认同感。天气模糊在八个依赖自然资源的农村沿海社区纳入了在线和社区参与学习方法。来自缅因州六个社区和美国其他沿海地区两个社区的K-8学生、教师、家长、渔民和其他社区成员在一个有100名参与者的学习社区与活跃的研究人员互动,其中包括至少50名学生和教师。重点具体放在两个社区感兴趣的STEM专题领域:沿海地貌和参与者所在地区的历史天气和气候模式。参与者通过上传和共享天气数据、照片和视频,并通过博客、维基、图表和地图格式分析和讨论他们的结果,从而面对面和在线地相互参与。WeatherBlur利用学生对STEM主题(在这种情况下是天气及其对他们生活的影响)的技术和社区兴趣,将不同的学习者群体聚集在一个高度互动的在线学习社区中。通过这个学习社区,科学家、老师、K-8年级学生、家长和渔民积极互动,相互学习。
英文摘要
WeatherBlur is a two-year Track 1 project that advances public earth system science literacy, enables a dialogue between stakeholders, and promotes the development of a future geosciences workforce. Building upon a proven model for teacher professional development and K-8 student engagement, WeatherBlur designs, develops, and evaluates the effectiveness of a framework for earth science learning across the continuum from child to adult. The project centers on the creation of a non-hierarchical, place-based, learning community model to influence all learners' earth systems science literacy and overall science identity. Weather Blur incorporates online and community engagement learning methods in eight rural, natural-resource dependent coastal communities. K-8 students, teachers, parents, fishermen, and other community members from six communities in Maine, and two communities from other coastal regions of the United States, interact with active researchers in a learning community of 100 participants, including at least 50 students and teachers. The focus is specifically on two STEM topic areas of strong community interest: coastal geomorphology and historical weather and climate patterns in participants' regions. Participants engage with each other in person and online by uploading and sharing weather data, photos, and video, and analyzing and discussing their results via blog, wiki, graph, and map formats. WeatherBlur leverages students' facility with technology and community interest in a STEM topic - in this case, weather and its impact on their lives - to bring together a diverse group of learners in a highly interactive online learning community. Through this learning community, scientists, teachers, grades K-8 students, parents, and fishermen actively engage with each other and learn from one another.
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会议论文
Sociocultural Approach to Integrating Computational Thinking and Data Analysis into an Online Citizen Science Program Linking Rural Educators in Maine, Mississippi, and Alabama
Integrate to Innovate: A Research-Practice Partnership to Integrate Computer Science into Maine Schools
Developing rural girls' STEM competency and motivation through communicating scientific topics with advanced technology
DIP: Next Generation WeatherBlur: Expanding Non-Hierarchical Online Learning Community Models for Citizen Science