Louis Stokes Regional Center of Excellence: Center for Promotion of Academic Careers through Motivational Opportunities to Develop Emerging Leaders in STEM (LS-PAC MODELS)

路易斯斯托克斯区域卓越中心：通过激励机会培养 STEM 新兴领导者促进学术职业的中心（LS-PAC 模型）

• 批准号: 1826826
• 负责人: Tyrslai Williams-Carter
• 金额: $ 250万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826826&HistoricalAwards=false
• 关键词: Louis; Stokes; Regional; Center; Excellence

The Louis Stokes Alliances for Minority Participation (LSAMP) program assists universities and colleges in diversifying the science, technology, engineering and mathematics (STEM) workforce through their efforts at significantly increasing the numbers of students from historically underrepresented minority populations (African-Americans, Hispanic Americans, American Indians or Alaska Natives, Native Hawaiians or Other Pacific Islanders) to successfully complete high quality degree programs in STEM. Louis Stokes Regional Centers of Excellence in Broadening Participation (LSRCE) are designed to serve as regional testbeds for outreach, knowledge-generating and diffusion activities or other activities that contribute to successful practices in STEM education.Developing a stronger, more diverse STEM workforce is a clear national need to promote economic prosperity and maintain global leadership in science. Work toward that end is in accord with the National Science Foundation's mission to promote the progress of science. To address this need, the Louisiana State University (LSU) Office of Strategic Initiatives proposes a Louis Stokes Regional Center of Excellence in Broadening Participation, entitled "LSRCE: Center for Promotion of Academic Careers through Motivational Opportunities to Develop Emerging Leaders in STEM (LS-PAC MODELS)." Specifically, the vision for this Center is to create a successful, data-driven model for increasing underrepresented minority (URM) preparation for academic careers (i.e., an effective model with well-tested strategies). This Center will cement an alliance between LSU and IBM, with IBM assisting in data management, organization, and strategizing focused data collection to aid in early promotion of best practices. The goals of this alliance are to (1) increase the quality and quantity of URM STEM students pursuing doctoral degrees within the LSAMP collaborating institutions through mentoring of undergraduate and graduate students; (2) increase retention to graduation rate of underrepresented STEM PhD students; (3) develop a national model and platform for increasing the number of URM minority STEM PhD recipients, and (4) develop a model for increasing placement of URM PhDs into the professoriate and to minimize attrition once they get there. With data and use of IBM consulting and software, the Center's social science researchers will examine the strength of social network connections and how those strengthen URM students' learning experiences, and whether corresponding increases in career resources occur. This will contribute scientific knowledge to the theoretical understanding of how social capital in the form of mentorship can be acquired in computer-supported collaborative learning environments. Data gathered with assistance from IBM will also allow members of the alliance to examine cognitive and personality characteristics of URM students that predict success along with the development of intellectual and intra- and interpersonal skills and wellbeing. The aggregate of these data will be used for iterative processes during the creation of the mentoring platform in collaboration with IBM. Ultimately, an interactive App and website will be created, manuscripts will be published in top-quality journals, and a book of best practices in mentoring URMs to the professoriate will be developed.This award is co-funded by NSF INCLUDES which focuses on catalyzing the STEM enterprise to collaboratively work for inclusive change.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.

路易斯斯托克斯少数族裔参与联盟 (LSAMP) 计划帮助大学和学院实现科学、技术、工程和数学 (STEM) 劳动力的多元化，方法是大幅增加历史上代表性不足的少数族裔（非裔美国人、西班牙裔美国人）的学生数量。美国人、美洲印第安人或阿拉斯加原住民、夏威夷原住民或其他太平洋岛民）成功完成高质量的 STEM 学位课程。 路易斯斯托克斯扩大参与卓越区域中心 (LSRCE) 旨在作为外展、知识生成和传播活动或有助于 STEM 教育成功实践的其他活动的区域试验台。培养一支更强大、更多元化的 STEM 劳动力队伍是一项重要任务。明确的国家需要促进经济繁荣和保持全球科学领导地位。 实现这一目标的工作符合国家科学基金会促进科学进步的使命。 为了满足这一需求，路易斯安那州立大学 (LSU) 战略计划办公室提议建立路易斯斯托克斯扩大参与卓越区域中心，题为“LSRCE：通过激励机会培养 STEM 新兴领导者的学术职业促进中心 (LS- PAC 模型）。” 具体来说，该中心的愿景是创建一个成功的、数据驱动的模型，以增加代表性不足的少数族裔 (URM) 为学术职业做好准备（即具有经过充分测试的策略的有效模型）。 该中心将巩固路易斯安那州立大学和 IBM 之间的联盟，由 IBM 协助数据管理、组织和制定重点数据收集策略，以帮助早期推广最佳实践。 该联盟的目标是（1）通过对本科生和研究生的指导，提高 LSAMP 合作机构内攻读博士学位的 URM STEM 学生的质量和数量； (2) 提高代表性不足的 STEM 博士生的毕业率； (3) 开发一个国家模型和平台，以增加 URM 少数族裔 STEM 博士获得者的数量，以及 (4) 开发一个模型，以增加 URM 博士进入教授职位的机会，并最大限度地减少他们进入教授职位后的流失。 通过数据以及 IBM 咨询和软件的使用，该中心的社会科学研究人员将研究社交网络联系的强度以及这些联系如何增强 URM 学生的学习体验，以及职业资源是否会相应增加。 这将为理论理解如何在计算机支持的协作学习环境中获得导师形式的社会资本提供科学知识。 在 IBM 协助下收集的数据还将允许联盟成员检查 URM 学生的认知和性格特征，这些特征可预测成功以及智力、内部和人际技能和幸福感的发展。 这些数据的汇总将用于与 IBM 合作创建指导平台期间的迭代过程。 最终，将创建一个交互式应用程序和网站，手稿将在顶级期刊上发表，并将开发一本向教授指导 URM 的最佳实践书籍。该奖项由 NSF INCLUDES 共同资助，专注于促进该奖项反映了 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。

项目成果

Supporting Historically Underrepresented Groups in STEM Higher Education: The Promise of Structured Mentoring Networks

支持 STEM 高等教育中历史上代表性不足的群体：结构化辅导网络的前景

• DOI: 10.3389/feduc.2022.674669
• 发表时间: 2022-05
• 期刊: Frontiers in Education
• 影响因子: 2.3
• 作者: Markle, Robert S.;Williams, Tyrslai M.;Williams, Kristen S.;deGravelles, Karin H.;Bagayoko, Diola;Warner, Isiah M.
• 通讯作者: Warner, Isiah M.