EAGER: Broadening Participation in Undergraduate Computing Literature Matrix Resource

加州大学洛杉矶分校将开发一个文献矩阵资源，使从业者、研究人员、非营利组织、工业界和其他对扩大计算参与(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·萨克斯博士领导着一个全国性的混合方法研究项目(辫子研究项目)，重点是努力在本科计算机专业招募和留住有色人种女性和学生。通过这项工作，萨克斯博士和她的研究团队开发了确定和编目与BPC工作相关主题的奖学金的方法。在这项工作的基础上，该小组将建立一个同行评议文献图书馆，主题是扩大对本科生计算的参与，允许用户按关键领域(年份、期刊、学科、方法方法、样本量等)搜索图书馆的内容。为了确定文献矩阵的片段并创建内容，萨克斯博士和她的团队将借鉴审查和合成文献的最佳实践。通过这样做，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。这些资源将对社会科学背景较少的个人很有用，他们正在寻求更多地了解使计算多样化的最佳做法。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，以奠定未来研究的基础，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者更容易评估现有的研究。这项工作将对国家科学基金会(NSF)首席调查员(PI)特别有用，他们正在研究计算机和信息科学与工程局(CEISE)的提案和奖项，该委员会目前正在为他们提交的一些材料试行BPC要求。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得到认可的做法。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。

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.