NNA - EHR-Polar DCL 2017: Collaborative Research: Researching apun: Students Using Local, Traditional, and Science Knowledge Bases to Investigate Arctic Snow Processes

北极变暖的速度比地球上其他地方都快，亚肯色州乌特恰格维克的社区是伊努皮亚特人的家园，他们从一个独特的角度观察这一深刻的变化。密歇根大学(U-M)和位于乌特恰格维克的伊利萨格维克学院之间的这一合作，将支持伊利萨格维克学院本科生基于课程的研究体验的发展，并将支持北极雪的基础研究。该项目将产生三个主要产品：1)在理解学生在从事科学研究活动时如何驾驭多种知晓方式方面取得重大进展；2)一个符合文化要求的课程，其中包括调查北极雪过程的基于课程的本科生研究；以及3)北极雪物理和化学成分数据。学生和当地社区，包括长辈，将参与与雪研究相关的课程开发、课程活动和数据收集。该项目将使人们更好地理解如何最好地设计以课程为基础的本科研究课程，以支持不同学生的科学学习。伊利萨格维克学院是阿拉斯加北极地区唯一的部落学院。这个项目为学生提供了一个参与真实研究的重要机会。该项目将为伊利萨格维克学院的三名本科生提供研究机会，此外还将有大约49名本科生参与课堂教学。两名伊利萨格维克大学的学生将被提名参加密歇根大学本科生化学研究体验(REU)暑期项目，两名学生将在芝加哥人/拉美裔美国人和美洲原住民科学促进会(SACNAS)或美国化学学会(ACS)的年度全国会议上展示他们的研究成果。这些项目还将涉及一名密歇根大学博士生，他将把论文的重点放在项目的教育研究部分。该项目将使伊利萨格维克社区在每个阶段都参与进来，并有助于将传统知识纳入研究。作为参与研究项目的一部分，参与的学生将采访社区成员和长老，以获得关于雪的传统知识，包括各种类型的雪的词汇。学生们将对雪进行采样，确定其化学和物理特性，并将这些特性与不同类型的雪相关联。学生将向社会展示他们的研究成果，并将反馈记录下来，以确定未来的研究方向。雪数据将通过NSF北极数据中心存档，以供公众和科学界未来的研究和教育使用，包括未来在伊利萨格维克学院提供的课程。通过该项目记录的传统知识将报告给阿拉斯加土著知识网络。这一奖项由本科教育部门和极地计划办公室支持。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The Arctic is warming more rapidly than elsewhere on Earth, and the community of Utqiagvik, AK, the home of the Inupiat people, has a unique perspective from which they are observing this profound change. This collaboration between the University of Michigan (U-M) and Ilisagvik College, located in Utqiagvik, will support the development of a course-based research experience for undergraduates at Ilisagvik College and will also support basic research on Arctic snow. The project will yield three main products: 1) a significant advance in understanding how students navigate multiple ways of knowing when engaging in science research activities; 2) a culturally responsive curriculum incorporating course-based undergraduate research investigating Arctic snow processes; and 3) Arctic snow physical and chemical composition data. The students and the local community, including Elders, will be involved in the curriculum development, course activities, and data collection related to snow research. The project will yield a greater understanding of how course-based undergraduate research curricula can be best designed to support science learning of diverse students.Ilisagvik College is the only tribal college in the Alaskan Arctic. This project provides a significant opportunity for students to participate in authentic research. The project will support research opportunities for three undergraduate students at Ilisagvik College, in addition to the participation of about forty-nine undergraduates in the classroom setting. Two Ilisagvik College students will be nominated to participate in the U-M Chemistry Research Experiences for Undergraduates (REU) summer program and two students will present their research results at the annual Society for Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS) or American Chemical Society (ACS) national meetings. The projects will also involve one U-M PhD student who will focus their dissertation on educational research component of the project. The project will involve the Ilisagvik community at every stage and contribute to the incorporation of traditional knowledge in the research. As part of their engagement in the research project, participating students will interview community members and Elders to gain traditional knowledge about snow, including words for various types of snow. Students will sample snow, determine its chemical and physical properties, and correlate these properties to the different types of snow. Students will present their research results to the community and will document feedback to identify future research directions. Snow data will be archived through the NSF Arctic Data Center for future research and educational use by the public and scientific community, including future course offerings at Ilisagvik College. Traditional knowledge documented through the project will be reported to the Alaska Native Knowledge Network. This award is supported by the Division of Undergraduate Education and the Office of Polar Programs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.