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Using State-based Data Systems to Support Broadening Participation in Computing

机译:使用基于状态的数据系统来支持广泛的计算参与

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On-going measurement of broadening participation in computer science (BPC) is a challenging and important task to ensure equitable access for all students. Defining and tracking progress towards BPC goals requires the collection of detailed data that allows for the rigorous analysis of the characteristics of individuals who are participating in and benefiting from initiatives designed to broaden participation in STEM fields. Tracking participation in computing, setting goals for reaching gender, racial, ethnic and socioeconomic parity and for reaching students with disabilities, then tracking progress towards parity relies on state-level data systems. This poster presents lessons learned from interviews with seven Computer Science teacher PD projects to understand the feasibility of using state data including to track BPC and 2) Observations of 17 state-wide Expanding Computing Education Partnership (ECEP) teams participation in a facilitated process to define their state-wide BPC goals, reflect on the activities are being undertaken to meet these goals and what data would be needed to measure progress. This process uncovered the value, challenges and best practices in measuring BPC.
机译:不断衡量扩大计算机科学(BPC)参与度的过程是一项艰巨而重要的任务,以确保所有学生都能平等地获得学习机会。定义和跟踪实现BPC目标的进度需要收集详细的数据,以便对参与扩展STEM领域的计划并从中受益的个人的特征进行严格的分析。跟踪参与计算的过程,确定实现性别,种族,族裔和社会经济均等并达到残疾学生目标,然后跟踪实现均等的进度依赖于州级数据系统。这张海报展示了从七个计算机科学老师PD项目的访谈中吸取的教训,以了解使用状态数据(包括跟踪BPC)的可行性,以及2)对17个州范围内的扩展计算教育合作伙伴(ECEP)团队参与促进过程进行定义的观察他们在全州范围内的BPC目标,反思为实现这些目标而开展的活动以及需要哪些数据来衡量进度。此过程揭示了衡量BPC的价值,挑战和最佳实践。

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