RCN-UBE: HITS: High-throughput Discovery Science & Inquiry-based Case Studies for Today's Students

RCN-UBE：命中：高通量发现科学

• 批准号: 1730317
• 负责人: Carlos Goller
• 金额: $ 49.99万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730317&HistoricalAwards=false
• 关键词: RCN; UBE; HITS; throughput; Discovery

This RCN-UBE network project seeks to increase opportunities for undergraduate students to develop quantitative skills and participate in high-throughput discovery research. This network addresses the need to educate undergraduates, graduate students, researchers, and faculty in massively-parallel and high-throughput (HT) approaches that are becoming increasingly common in research and industry. Educators committed to increasing exposure of students to new techniques and datasets will work with researchers to develop educational case studies using a series of resources developed by experts in high-throughput research and case-based learning. Researchers using HT techniques will learn at the workshops from experts in academia and industry. This collaboration will empower faculty to develop and implement case HT studies in undergraduate education and promote applied quantitative skills including descriptive statistics and use of online 'big data' databases and tools. The network will disseminate these case studies broadly and work with other RCN-UBE programs to integrate the resources created in STEM courses and curricula across the country and world.The network team will use a series of workshop meetings to bring together the STEM education community, with a focus on faculty from diverse institutions and researchers using or learning HT approaches. The workshops will foster the exchange of ideas and increase awareness of the importance of HT techniques in scientific research and the STEM education community. This research and educational network includes primarily undergraduate institutions, early career teaching faculty, and national and international researchers to create impactful educational materials to demonstrate the transformative power of HT approaches and teach underlying quantitative skills. The resulting inquiry-based case studies will engage students in authentic research and better train future scientists and engineers for jobs in modern molecular biology. Undergraduate students will analyze novel data sets and develop quantitative skills, while network participants will enhance their research and teaching through provided HT technical workshops and the development of case studies with teams of network-trained faculty and postdoctoral "Case Fellows". This project provides training opportunities for a diverse group of undergraduates, graduate students, postdoctoral fellows, researchers, and educators. The products of the HITS RCN-UBE will be widely disseminated and available on the web to encourage faculty to adopt, adapt, assess, improve and create case studies that demystify high-throughput approaches and data sets.This project is being jointly funded by the Directorate for Biological Sciences (BIO), Division of Biological Infrastructure, and the Directorate for Education and Human Resources (EHR), Division of Undergraduate Education as part of their efforts to address the challenges posed in Vision and Change in Undergraduate Biology Education: A Call to Action (http://visionandchange.org/finalreport/). This project is also co-funded by the Division Molecular and Cellular Biosciences (MCB) in the BIO directorate.

该 RCN-UBE 网络项目旨在增加本科生发展定量技能和参与高通量发现研究的机会。该网络满足了对本科生、研究生、研究人员和教师进行大规模并行和高通量 (HT) 方法教育的需求，这些方法在研究和工业中变得越来越普遍。致力于增加学生接触新技术和数据集的教育工作者将与研究人员合作，利用高通量研究和基于案例学习的专家开发的一系列资源来开发教育案例研究。使用 HT 技术的研究人员将在研讨会上向学术界和工业界的专家学习。此次合作将使教师能够在本科教育中开发和实施案例 HT 研究，并促进应用定量技能，包括描述性统计和在线“大数据”数据库和工具的使用。该网络将广泛传播这些案例研究，并与其他 RCN-UBE 项目合作，整合全国和世界各地 STEM 课程和课程中创建的资源。该网络团队将通过一系列研讨会会议将 STEM 教育社区聚集在一起，重点关注来自不同机构的教师和使用或学习 HT 方法的研究人员。这些研讨会将促进思想交流并提高人们对 HT 技术在科学研究和 STEM 教育界重要性的认识。该研究和教育网络主要包括本科院校、早期职业教学教师以及国内和国际研究人员，以创建有影响力的教育材料，以展示 HT 方法的变革力量并教授基本的定量技能。由此产生的基于探究的案例研究将使学生参与真实的研究，并更好地培训未来的科学家和工程师从事现代分子生物学工作。本科生将分析新颖的数据集并培养定量技能，而网络参与者将通过提供的 HT 技术研讨会以及与网络培训教师和博士后“案例研究员”团队一起开展案例研究来加强他们的研究和教学。该项目为不同群体的本科生、研究生、博士后研究员、研究人员和教育工作者提供培训机会。 HITS RCN-UBE 的产品将在网络上广泛传播和提供，以鼓励教师采用、适应、评估、改进和创建案例研究，揭开高通量方法和数据集的神秘面纱。该项目由生物科学局 (BIO) 生物基础设施司和教育和人力资源局 (EHR) 本科教育司共同资助，作为他们努力的一部分 解决本科生物教育的愿景和变革中提出的挑战：行动呼吁 (http://visionandchange.org/finalreport/)。该项目还得到 BIO 理事会分子和细胞生物科学部 (MCB) 的共同资助。

项目成果

HITS: Harnessing a Collaborative Training Network to Create Case Studies that Integrate High-Throughput, Complex Datasets into Curricula

HITS：利用协作培训网络创建案例研究，将高通量、复杂的数据集集成到课程中

• DOI: 10.3389/feduc.2021.711512
• 发表时间: 2021
• 期刊: Frontiers in Education
• 影响因子: 2.3
• 作者: Robertson, Sabrina D.;Bixler, Andrea;Eslinger, Melissa R.;Gaudier-Diaz, Monica M.;Kleinschmit, Adam J.;Marsteller, Pat;O’Toole, Kate K.;Sankar, Usha;Goller, Carlos C.
• 通讯作者: Goller, Carlos C.