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Award Abstract # 1936735
EAGER: Broadening Participation in Undergraduate Computing Literature Matrix Resource

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF CALIFORNIA, LOS ANGELES
Initial Amendment Date: August 5, 2019
Latest Amendment Date: March 26, 2021
Award Number: 1936735
Award Instrument: Standard Grant
Program Manager: Jeffrey Forbes
jforbes@nsf.gov
 (703)292-5301
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2019
End Date: September 30, 2021 (Estimated)
Total Intended Award Amount: $299,997.00
Total Awarded Amount to Date: $299,997.00
Funds Obligated to Date: FY 2019 = $299,997.00
History of Investigator:
  • Linda Sax (Principal Investigator)
    lsax@g.ucla.edu
  • Kathleen Lehman (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California-Los Angeles
10889 WILSHIRE BLVD STE 700
LOS ANGELES
CA  US  90024-4200
(310)794-0102
Sponsor Congressional District: 36
Primary Place of Performance: University of California, Los Angeles
405 Hilgard Ave
Los Angeles
CA  US  90095-1406
Primary Place of Performance
Congressional District:
36
Unique Entity Identifier (UEI): RN64EPNH8JC6
Parent UEI:
NSF Program(s): CISE Education and Workforce
Primary Program Source: 01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7482, 7916
Program Element Code(s): 055Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

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.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project, led by Drs. Linda Sax and Kathleen Lehman at UCLA Momentum, entailed the development of a literature matrix resource that allows practitioners, researchers, non-profits, industry, and others interested in broadening participation in computing (BPC) to identify and assess relevant literature to inform their work. The literature matrix serves as a repository of 182 recently published (January 2005 - August 2020) scholarly articles that advance the empirical and theoretical knowledge around broadening participation in undergraduate computing in the United States. The articles in this matrix approach broadening participation in computing (BPC) from a variety of epistemological and methodological orientations as well as with different goals and objectives, including but not limited to implementing and evaluating BPC interventions and theorizing around broader social forces that relate to longstanding inequalities in computing.

This project occurred in two phases. In the first phase of the project, our team collaborated with experts in data science, computer science, computing education research, and library science to develop this tool. These collaborations served as the foundation for a comprehensive search, collection, and review process that ensured the articles included in the literature matrix tool are the most relevant to the mission of the overall project. During the second phase of the project, our team completed the screening process for the literature matrix and developed the final matrix. This included initiating a literature search based on our previously determined parameters, which yielded over 3,700 relevant articles. Then, our team screened results to identify the articles to be included in the final literature matrix (n=182 articles). After our team's initial screening, a natural language processing (NLP) tool designed for this project extracted key data (bibliographic data, sample description, institutional context) from each piece of literature, which was indexed in the final matrix. Finally, our team delivered the matrix to the Computing Research Association (CRA). CRA is working to integrate the matrix into the resource website BPCnet.org to make the matrix publicly available. Our team also drafted a technical report outlining the methods used in the literature search which will be publicly available alongside the completed matrix.

The literature matrix began as a tool for our research team's internal research purposes, but with the support of NSF, our team has operationalized it in such a way that it can serve the larger BPC community. As such, the broader impacts of our work were the primary impetus for this project.  By making the scholarship on broadening participation efforts accessible to a wider audience, practitioners, such as PIs developing BPC plans to comply with the NSF CISE requirements, will be better positioned to develop initiatives grounded in research. In turn, this will increase the likelihood that funded initiatives will work--that is, they will help to diversify computing fields. Creating this resource also strengthened preexisting collaborations between the Momentum research team and other groups working to support BPC efforts, such as NCWIT and CRA. The gender and racial/ethnic gaps in computing have proven to be stubborn; it will take a synergistic effort across many groups of people to diversify computing fields. The literature matrix project is a supporting component of that larger effort.  

 


Last Modified: 01/24/2022
Modified by: Kathleen J Lehman

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