CCLI: Bringing a Field Station into the Classroom

生物科学（61）。洛基山生物实验室（RMBL）通过开发基于网络的资源，方便访问其大量数据库，实质上是将一个野外工作站带入美国各地的教室。中国科学院成立于1928年，是一所以促进实地研究为宗旨的非营利性研究机构；每年约有150名学生和科学家使用其设施，发表1300多篇同行评审的出版物。因此，哥特的生态系统是世界上最容易理解的生态系统之一。虽然有成千上万的学生经历了这个改变人生的地方，但由于它地处偏远，一年中的大部分时间都被大雪覆盖，许多学生将永远没有机会在那里（或任何其他野外考察站）工作。近年来，中国科学院通过网站、科研计划、科研数据、馆藏信息和照片、地图信息、出版物、环境数据等方式，对大量数据集进行归档和整理，积极管理和对外开放。该项目通过生成基于网络的资源，方便学生和教育工作者访问长期数据集，在这些数字数据资源和教室之间架起一座桥梁。其中包括描述不同物种的自然历史页面，以及提供如何在课堂上使用数据示例的网络模块。这个项目的另一个主要目标是帮助学生探索世界是如何变化的。中国科学院拥有世界上最大的长期研究项目之一，并正在建立一个沿海拔梯度的气象站网络。因此，学生和教育工作者使用人民币的资源有能力探索天气和气候是如何变化的，并将这些信息与长期的生物趋势联系起来。智力优势：通过为学生提供在数据丰富的环境中工作的工具，该项目旨在提高他们的科学发现技能，包括构建有趣问题、处理数据和获取原始文献的能力。此外，由于该项目需要在丰富的环境中嵌入数据，例如流行文章和科学家传记，因此它增加了学生在课堂之外参与科学的潜在意愿和能力。最后，这个项目正在培训下一代科学家，为他们提供有效使用在线数字资源库所需的技能。更广泛的影响：与查菲社区学院的合作有助于确保正在开发的材料在2年的大学环境中是有效的。与现有项目（例如，BioQUEST课程联盟）的额外合作正在通过其门户网站帮助证明开发的材料。因此，该项目正在增加可供教育工作者在课堂上使用的科学数据集的数量。由于材料使用开源工具，因此该平台可以转移到其他现场站点环境中。该项目由生物科学理事会新兴前沿司的资金共同资助。

Biological Sciences (61). Through development of web-based resources that facilitate access to its large number of databases, the Rocky Mountain Biological Laboratory (RMBL) is in essence bringing a field station into classrooms across the United States. Founded in 1928, the RMBL is a non-profit research institution that promotes field research; approximately 150 students and scientists use its facilities each year, leading to over 1300 peer-reviewed publications. The ecosystem around Gothic, CO is thus one of the best understood in the world. Although thousands of students have gone through the RMBL and have had a life-changing experience, because it is in a remote location and is snowed in for much of the year, many students will never have the opportunity to work there (or any other field station). In recent years the RMBL archived and documented a large number of datasets, and actively manages and makes available through its website, research plans, research data, collections information and photos, map information, publications, and environmental data. This project is creating a bridge between these digital data resources and classrooms by generating web-based resources that facilitate access by students and educators to long-term datasets. These include natural history pages that describe different species and web-based modules that provide examples of how data can be used in the classroom. Another major goal of this project is to help students explore how the world is changing. The RMBL has one of the largest collections of long-term research programs in the world, and is establishing a network of weather stations along an elevational gradient. Consequently, students and educators using the RMBL's resources have the ability to explore how weather and climate are changing, and to relate that information to long-term biological trends. Intellectual Merit: By providing students with tools to work in a data-rich environment, the project seeks to improve their scientific discovery skills, including their ability to frame interesting questions, work with data, and access primary literature. Additionally, because the project entails embedding of data in rich contexts, such as popular articles and biographies of the scientists, it increases the potential willingness and ability of students to engage with science beyond the classroom. Finally, this project is training the next generation of scientists by providing them the skills they need to effectively use online digital repositories. Broader Impacts: A collaboration with Chaffey Community College is helping to ensure that the materials being developed are effective in a 2-year college setting. Additional collaborations with existing projects (e.g., BioQUEST Curriculum Consortium) are helping to prove the developed materials through their portals. Consequently, the project is increasing the number of scientific datasets available to educators for use in the classroom. Because the materials use open source tools, the platform can be transferred into other field station contexts.This project is being co-funded by funds from the Directorate for Biological Sciences, Emerging Frontiers Division.