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Engaging Faculty and Students in Learning with OOI Data Explorations

让教师和学生参与 OOI 数据探索的学习

基本信息

批准号：
1831625
负责人：
Janice McDonnell
金额：
$ 98.16万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-15 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831625&HistoricalAwards=false
关键词：
Engaging Faculty Students Learning OOI

项目摘要

Using high volumes of data for research and education increases both opportunities and challenges to analyze and synthesize scientific understanding. A growing number of research programs collect high volumes of data, especially oceanography programs where the use of advanced technologies, including cabled systems, autonomous gliders, and sophisticated buoy sensor systems generate huge data sets. For example, the National Science Foundation's Ocean Observatories Initiative (OOI) has constructed observational and computer infrastructure that provides sustained ocean measurements to study climate variability, ocean circulation, ecosystem dynamics, air-sea exchange, seafloor processes, and plate-scale geodynamics for the coming decades. This ocean observing system is already advancing our ability to understand the natural world by accumulating large quantities of data to address questions about complex oceanographic processes. This expanded access to data also provides professors in the geosciences with unprecedented opportunities to engage undergraduate students in data experiences using real-world data sets, models, and simulations of geoscience processes using web-based technologies. Learning directly from data has been shown to be advantageous as it challenges learners to construct meaning and develop a deeper understanding of a topic or phenomenon, encourages student inquiry, and develops skills with the practices of science. Using real world data has also been shown to help develop interest in, motivation for, and identity with respect to science. Moreover, analyzing data and identifying patterns have become core workforce skills in the workplace and for civic engagement in the 21st century. The OOI offers an opportunity to bring professionally collected, real-time and near-real-time data, images, and video of the Earth's oceans into both formal and informal learning environments. This project builds on prior efforts to create cyberinfrastructure that helps make OOI data available to educators. In order to correctly focus development of educational tools, two front-end evaluation studies on the practices and teaching needs of the oceanographic community were conducted. While 73% of undergraduate professors said they use data in their classroom, only a small subset use real-time data with their students. 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 order to meet the challenges posed by teaching with authentic data and to encourage the use of OOI data in undergraduate classrooms, this project will design and implement professional development workshops and a mini grant program to expand the use of OOI data in undergraduate teaching. This project further develops, scales up, and implements ways to improve undergraduate student engagement in the geosciences through classroom experiences focused on analyzing oceanographic data. The PIs will engage approximately 150 faculty in workshops focused on teaching with OOI data and data visualizations. Faculty from community colleges, Primarily Undergraduate Institutions (PUIs), Minority-Serving Institutions (MSIs), Historically Black Colleges & Universities will be recruited, as well as faculty from research laboratories, larger research universities, and a team of pedagogical experts. The goal of this project is to expand the community of professors effectively utilizing OOI data in their classrooms, eventually creating an OOI focused Community of Practice for teaching with data. The project will support a variety of activities and workshops that will increase the involvement of faculty members from a wide range of institutions in the OOI user community. The faculty will be able to use OOI data products to engage students in oceanography via online data activities and improve the training of undergraduate students in data interpretation and analysis. Data explorations will be developed by collaborating undergraduate professors and made available for all educators to use. The project will assess and evaluate the effectiveness of various methods for introducing data into the classroom and for training faculty members in the new methods.This project addresses NSF priorities as stated in the NSF Strategic Plan for 2018-2022, "Strategic Objective 2.2 - STEM Workforce: Foster the growth of a more capable and diverse research workforce and advance the scientific and innovation skills of the Nation."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.

将大量数据用于研究和教育增加了分析和综合科学理解的机会和挑战。越来越多的研究项目收集了大量的数据，特别是海洋学项目，其中使用了先进的技术，包括电缆系统、自主滑翔机和复杂的浮标传感器系统，产生了大量的数据集。例如，美国国家科学基金会的海洋观测站倡议（OOI）已经建立了观测和计算机基础设施，为未来几十年的气候变化、海洋环流、生态系统动力学、海气交换、海底过程和板块尺度的地球动力学研究提供了持续的海洋测量。这个海洋观测系统已经通过积累大量数据来解决有关复杂海洋过程的问题，提高了我们了解自然世界的能力。这种扩展的数据访问也为地球科学教授提供了前所未有的机会，让本科生使用基于网络的技术使用真实世界的数据集、模型和地球科学过程模拟来进行数据体验。直接从数据中学习已被证明是有利的，因为它挑战学习者构建意义并对主题或现象有更深的理解，鼓励学生探究，并通过科学实践培养技能。使用真实世界的数据也被证明有助于培养对科学的兴趣、动机和认同。此外，分析数据和识别模式已成为21世纪工作场所和公民参与的核心劳动力技能。OOI提供了将专业收集的实时和近实时地球海洋数据、图像和视频带入正式和非正式学习环境的机会。该项目建立在之前创建网络基础设施的基础上，帮助教育工作者获得OOI数据。为了正确定位教育工具开发的重点，对海洋学社区的实践和教学需求进行了两项前端评估研究。虽然73%的本科教授表示他们在课堂上使用数据，但只有一小部分人在学生身上使用实时数据。最重要的是，我们确定需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，以帮助本科教授满足21世纪科学技能和实践教学的需求。为了应对使用真实数据进行教学所带来的挑战，并鼓励在本科课堂中使用OOI数据，本项目将设计和实施专业发展研讨会和小型赠款计划，以扩大OOI数据在本科教学中的使用。本项目进一步发展、扩大和实施各种方法，通过以分析海洋学数据为重点的课堂体验，提高本科生对地球科学的参与度。pi将邀请大约150名教师参加研讨会，重点是使用OOI数据和数据可视化进行教学。来自社区学院、主要本科院校（PUIs）、少数族裔服务机构（msi）、传统黑人学院和大学的教师，以及来自研究实验室、大型研究型大学和教学专家团队的教师将被招募。该项目的目标是扩大在课堂上有效利用OOI数据的教授社区，最终创建一个以OOI为重点的实践社区，用于数据教学。该项目将支持各种活动和讲习班，这些活动和讲习班将增加来自广泛机构的教员参与OOI用户社区。教师将能够使用OOI数据产品，通过在线数据活动吸引学生参与海洋学，并改善对本科生数据解释和分析的培训。数据探索将由本科教授合作开发，并提供给所有教育工作者使用。该项目将评估和评价将数据引入课堂和用新方法培训教员的各种方法的有效性。该项目解决了美国国家科学基金会2018-2022年战略计划“战略目标2.2 - STEM劳动力：培养一支更有能力和多样化的研究队伍，提高国家的科学和创新技能”中所述的国家科学基金会优先事项。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。