Polar (NSF 15-114): Using Polar Science Data in the Undergraduate Classroom

Polar (NSF 15-114)：在本科课堂中使用极地科学数据

• 批准号: 1611926
• 负责人: Jonathan Cohen
• 金额: $ 28.64万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1611926&HistoricalAwards=false
• 关键词: Polar; NSF; 15; 114; Using

This award supports efforts to leverage the extensive National Science Foundation investment in polar sciences, polar infrastructure, and science education research and development to promote an informed citizenry and the next generation of polar scientists. It responds to the objectives outlined in DCL 15-114.The University of Delaware (UD), will convert the Spring offering of an existing large-enrollment, non-major environmental science course into a course that is polar-focused, student-centered and employs a data-intensive active-learning pedagogy. The Fall offering of this course will continue to be a traditional lecture course. In the Spring course offering, students will work directly with polar data in an introductory R-based programing framework and use these data to evaluate media claims about polar regions. Students will also experience the human dimension of polar research through interactions with a range of polar scientists. Over the course of the project, ~170 non-major students will be immersed in polar science through this data-driven course. The impact of this project will extend well beyond the award period through continued offerings at UD and through development of at least twenty data visualizations and three Problem-Based-Learning (PBL) problems. The course will be delivered three times over three years, with yearly revision based on assessments of student learning, faculty performance, and workshops with a cohort of UD polar scientists and active-learning researchers. They will compare student learning using the active-learning pedagogy to student learning via the traditional lecture course. Results will be disseminated to a broad network of educators and researchers through a collaborative polar science outreach network and through active-learning databases, e.g., PBL Clearinghouse, Science Education Resource Center (SERC), and the National Center for Case Study Teaching in Science.

该奖项支持利用国家科学基金会在极地科学，极地基础设施和科学教育研究和开发方面的广泛投资，以促进知情公民和下一代极地科学家的努力。它响应了DCL 15- 114中概述的目标。特拉华州大学（UD）将把现有的大规模招生，非专业环境科学课程的春季课程转换为以极地为中心，以学生为中心，采用数据密集型主动学习教学法的课程。本课程的秋季课程将继续是传统的讲座课程。在春季课程中，学生将在基于R的入门编程框架中直接使用极地数据，并使用这些数据来评估有关极地地区的媒体声明。学生还将通过与一系列极地科学家的互动体验极地研究的人文层面。在该项目的过程中，约170名非专业学生将通过这个数据驱动的课程沉浸在极地科学中。该项目的影响将远远超出授予期，通过继续在UD提供服务，并通过开发至少20个数据可视化和三个基于问题的学习（PBL）问题。该课程将在三年内提供三次，每年根据对学生学习，教师表现的评估以及与一群UD极地科学家和主动学习研究人员的研讨会进行修订。他们将比较学生学习使用主动学习教学法，学生学习通过传统的讲座课程。将通过极地科学合作外联网络和主动学习数据库，PBL交换所，科学教育资源中心（SERC）和国家科学案例研究教学中心。