OOI Teaching with Data: Bringing OOI Data into Undergraduate Oceanography Courses

建立了海洋观测倡议(OOI)教育和公众参与(EPE)实施组织，其任务是将专业收集的、实时和近实时的地球海洋数据、图像和视频带入正式和非正式学习环境，并为教育工作者提供新的网络互动层面。在之前对可能在课堂上使用OOI数据的本科生教师的调查中，大多数受访教授(73%)表示，他们在过去一年内曾在教学中使用数据。他们还报告说，他们发现在教学中整合数据有助于学生从证据中得出结论，他们正在使用在线存档数据、期刊出版物和教授自己收集的数据。一小部分教授表示，他们使用在线实时数据。当被问及在用数据改进教学实践方面，他们在哪里可以得到最大的帮助时，他们的回答因职业阶段而异。最重要的是，决定有必要进一步探索如何有效地将数据整合到教学中，以及如何创建数据可视化工具，以帮助本科生教授满足21世纪科学技能和实践教学的要求。为了满足OOI潜在用户的需求并提高OOI基础设施的价值，罗格斯大学将主办两个实践讲习班，重点是利用OOI数据资产和数据可视化工具开展有效的数据实践教学。这一为期三天的课程将吸引来自不同机构的20名教师，包括社区大学、主要是本科机构(PUI)、少数族裔服务机构(MSI)、研究实验室和较大的研究型大学，以及一个教学专家团队，使用OOI数据流测试原型数据调查/可视化，重点是地质学和化学。直接从数据学习具有重要的教学优势，分析数据和识别模式已成为21世纪的核心劳动力技能。这两个讲习班将帮助建立一个围绕OOI数据的教学实践社区，提高OOI的价值。讲习班的一个长期目标是改善不同机构不同学生的教育成果。为这些学生提供学习数据管理和分析技能的机会将支持国家科学基金会扩大科学劳动力队伍的努力，并为STEM相关职位培训学生。

The Ocean Observing Initiative (OOI) Education and Public Engagement (EPE) Implementing Organization was established and tasked with bringing professionally collected, real and near real time data, images and video of our Earth's ocean into both formal and informal learning environments and providing a new layer of cyber-interactivity for educators. In previous surveys of undergraduate faculty who might use OOI data in their classrooms, the majority of professors surveyed (73%) indicated that they have used data in their teaching within the last year. They also reported that they found it useful to integrate data in their teaching to help students draw conclusions from evidence and that they are using online archived data, journal publications, and data that the professors had collected themselves. A small subset of professors indicated that they use online real-time data. When asked where they could use the most help in improving their practice with teaching with data, responses varied by career stage. Most importantly, it was determined that there is a need for further exploration into how to effectively integrate data into teaching and how to create data visualization tools that help undergraduate professors meet the demands of teaching 21st century science skills and practices. In response to the needs of potential OOI users and to enhance the value of the OOI infrastructure, Rutgers will host two hands-on workshops focused on developing effective teaching with data practices using OOI data assets and data visualizations tools. These three-day programs, will engage twenty faculty from diverse institutions, including community colleges, Primarily Undergraduate Institutions (PUIs), Minority-Serving Institutions (MSIs), research laboratories, and larger research universities, as well as a team of pedagogical experts to test prototype data investigations/visualizations using OOI data streams and focused on geology and chemistry.Learning directly from data has important pedagogical advantages, and analyzing data and identifying patterns have become core workforce skills for the 21st century. These two workshops will help establish a community of practice around teaching with OOI data, enhancing the value of the OOI. A long term goal of the workshops is to improve the educational outcomes for diverse students at a variety of institutions. Providing these students with opportunities to learn data management and analysis skills will support NSF efforts to broaden the scientific workforce and to train students for STEM-related positions.