EAGER: Broadening Participation in Undergraduate Computing Literature Matrix Resource

EAGER：扩大本科计算机文献矩阵资源的参与

• 批准号: 1936735
• 负责人: Linda Sax
• 金额: $ 30万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936735&HistoricalAwards=false
• 关键词: EAGER; Broadening; Participation; Undergraduate; Computing

The University of California--Los Angeles will develop a literature matrix resource that will allow practitioners, researchers, non-profits, industry, and others interested in broadening participation in computing (BPC) to identify and assess relevant literature to inform their work. Currently, the Principal Investigator Dr. Linda Sax leads a national, mixed-method research project (the BRAID Research project) focused on efforts to recruit and retain women and students of color in undergraduate computing majors. Through this work, Dr. Sax and her research team have developed methodologies to identify and catalogue scholarship that addresses topics relevant to BPC work. Building off that work, the team will curate a library of peer-reviewed literature on the topic of broadening participation in undergraduate computing that allows a user to search the library's content by key fields(year, journal, discipline, methodological approach, sample size, etc.) as well as review summary information.To identify pieces and create content for the literature matrix, Dr. Sax and her team will draw on best practices for reviewing and synthesizing literature. In doing so, they will be able to leverage their social science expertise to develop a much-needed resource for the BPC community. The resource will be useful to individuals with little background in the social sciences who are seeking to understand more about best practices to diversify computing. At the same time, it will be useful for social science researchers, enabling them to conduct more thorough syntheses of the extant literature to ground future research, identify gaps in our knowledge, and develop new research products. It will make it easier for researchers and practitioners alike to assess the available research. This work will be of particular use to National Science Foundation (NSF) Principal Investigators (PIs) working on proposals and awards from the Computer and Information Sciences and Engineering (CISE) Directorate which is currently piloting a BPC requirement for some of their submissions. The constructed literature matrix is expected to be available through the BPCNet.org resource collection designed for those CISE PIs, making it easier for them to identify those practices that are well-established in research.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.

加州大学-洛杉矶分校将开发一个文献矩阵资源，使从业人员、研究人员、非营利组织、工业界和其他对扩大参与计算（BPC）感兴趣的人能够识别和评估相关文献，为他们的工作提供信息。目前，首席研究员琳达萨克斯博士领导了一个全国性的混合方法研究项目（BRAID研究项目），重点是在本科计算机专业招聘和留住女性和有色人种学生。通过这项工作，萨克斯博士和她的研究团队已经开发出方法来识别和目录奖学金，解决与BPC工作相关的主题。在这项工作的基础上，该团队将策划一个关于扩大参与本科计算的同行评议文献库，允许用户按关键领域（年份，期刊，学科，方法论方法，样本量等）搜索图书馆的内容。以及综述摘要信息。为了识别文献矩阵的片段并创建内容，Sax博士和她的团队将借鉴文献综述和综合的最佳实践。在这样做的过程中，他们将能够利用他们的社会科学专业知识为BPC社区开发急需的资源。该资源将是有用的个人在社会科学谁正在寻求更多地了解最佳实践多样化计算的背景。与此同时，它将对社会科学研究人员有用，使他们能够对现有文献进行更全面的综合，为未来的研究奠定基础，找出我们知识中的差距，并开发新的研究产品。这将使研究人员和从业人员更容易评估现有的研究。这项工作将是特别有用的国家科学基金会（NSF）的主要研究者（PI）工作的建议和奖励，从计算机和信息科学与工程（CISE）董事会目前正在试行一个BPC要求，他们的一些意见书。构建的文献矩阵预计将通过为这些CISE PI设计的BPCNet.org资源集合提供，使他们更容易识别那些在研究中建立良好的实践。该奖项反映了NSF的法定使命，并被认为值得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来支持。