BPC-A: Data Alliance on Persistence and Perception in Computing (DAPPIC)

东北大学的包容性计算中心（CIC），计算研究协会（CRA）的研究管道评估中心（CERP）和28所大学合作，以提高定量和定性数据的可用性和使用，以支持各个学校和整个部门在扩大参与本科计算教育方面的努力。大学领导者非常积极地增加历史上少数群体在计算方面的代表性。然而，虽然扩大参与计算（BPC）的最佳做法已经制定和评估，它并不总是清楚的做法与机构的特定挑战。为了准确诊断包容性的障碍并评估干预措施的影响，领导者需要可靠地获得详细的入学，保留和毕业数据以及不同身份学生经历的定性数据。 这种合作解决了需要改进定量和定性数据的提供和使用，以支持个别学校和整个部门。CIC逐学期、逐班收集有关学生入学、保留和毕业的数据，并按人口统计数据进行分类。目前，议会与57所学校开展了这项工作。然后，这些数据在仪表板中可视化，允许用户在不同的身份交叉点之间进行比较，比较各个术语的变化和趋势，并与57所合作学校的平均值进行基准比较。CRA的CERP收集和传播来自150多个参与数据伙伴调查（DBS）的计算部门的数据。在本科阶段，DBS收集有关学习者的学术和人口背景，职业道路以及与招聘，保留和持续计算相关的各种指标的信息。该联盟将整合这两个数据集，并为BPC中的数据使用设定新标准。此外，该联盟将与国家学生信息交换所的中学后数据伙伴关系合作，该伙伴关系提供深入的仪表板，使各机构能够以汇总和分类的形式直观地了解学生的成果。我们看到了PDP在2022年优先开发特定学科仪表板的时间点机会，以带来我们使用BPC数据的集体经验以及强大的“客户之声”视角。具体活动包括：1）为CIC仪表板添加新功能（能够比较交叉身份，以不同的同行群体为基准，并连接到外部数据源，如NCES的IPEDS）; 2）整合CIC/DBS数据; 3）评估整合并传播学习成果; 4）探索与NSC的潜在整合; 5）计划实现提供长期可持续性和规模的模型。我们将与28所学校一起评估该方法的有效性，所有这些学校都参与了CIC的数据收集和CERP的DBS。该奖项反映了NSF的法定使命，并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，被认为值得支持。

Northeastern University’s Center for Inclusive Computing (the CIC), the Computing Research Association’s (CRA) Center for Evaluating the Research Pipeline (CERP) and 28 individual universities collaborate to improve the availability and use of quantitative and qualitative data to support the efforts of individual schools and the sector overall in broadening participation inundergraduate computing education. University leaders are highly motivated to increase the representation of populations historically minoritized in computing. However, while best practices for broadening participation in computing (BPC) have been developed and evaluated, it is not always clear which practices align with an institution’s particular challenges. To accurately diagnose barriers to inclusion and to assess the impact of interventions, leaders need reliable access to detailed enrollment, retention and graduation data as well as qualitative data on the experience of students of different identities. The collaboration addresses the need to improve the availability and use of quantitative and qualitative data to support individual schools and the sector as a whole. The CIC collects term by term, class by class data on student enrollment, retention, and graduation, disaggregated by demographics. At present the CIC does this work with 57 schools. This data is then visualized in dashboards that allow the user to compare between different intersections of identities, compare changes and trends across terms, and benchmark against an average of the 57 partner schools. CRA’s CERP collects and disseminates data from 150+ computing departments that participate in the Data Buddies Survey (DBS). At the undergraduate level, DBS gathers information about the academic and demographic background of learners, career pathways, as well as various indicators related to the recruitment, retention, and persistence in computing. The Alliance will integrate the two datasets and set a new standard for the usage of data in BPC. Additionally, the Alliance will work with the National Student Clearinghouse’s (NCS) Post-secondary Data Partnership (PDP), which offers in-depth dashboards that allow institutions to visualize student outcomes in aggregated and disaggregated forms. We see a point-in-time opportunity with the PDP’s priority in 2022 to develop discipline-specific dashboards to bring our collective experience working with BPC data as well as a robust “voice of the client” perspective. The specific activities are: 1) add new functionality to CIC dashboards (ability to compare across intersectional identities, to benchmark against different peer groups, and to connect to outside data sources such as NCES’ IPEDS); 2) integrate CIC/DBS data; 3) evaluate the integration and disseminate learnings; 4) explore potential integration with NSC; and 5) plan for achieving a model that provides long-term sustainability and scale. We will evaluate the efficacy of the approach with 28 schools, all of which participate in both the CIC’s data collection and CERP’s DBS.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.