Using a Researcher-Practitioner Partnership Approach to Develop a Shared Evaluation and Research Agenda for Computer Science for All

使用研究人员与从业人员合作的方法为所有人制定计算机科学的共享评估和研究议程

• 批准号: 1745199
• 负责人: Alan Peterfreund
• 金额: $ 122.29万
• 依托单位: SageFox Consulting Group, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745199&HistoricalAwards=false
• 关键词: Using; Researcher; Practitioner; Partnership; Approach

This project will adapt the Researcher-Practitioner Partnership (RPP) approach to build the capacity of evaluators and researchers to study, understand, and report on their project efforts and to establish a participant-driven, multi-site research agenda for the Computer Science for All: Researcher-Practitioner Partnerships (CS for All: RPP) program. This project will engage the community of funded partnerships to collectively work to develop a shared research agenda to facilitate the understanding of the efficacy of the RPP model and the impact on computer science (CS) and computational thinking (CT) education. The connected community will bring together the RPP research and evaluation teams and connect them to the larger CS for All education community through the CSforAll Consortium. This connection to the larger community will ensure a bidirectional dissemination - with the intellectual merit of the projects reaching the largest possible audience of researchers and practitioners, as well as ongoing connection to initiatives outside the funded RPPs helping to share learnings and best practices as well. The project will develop a community consensus on a research agenda for the RPP programs which may provide a solid foundation for future research, program evaluation and assessment. This project has the potential to affect the relative success of the CS for All: RPP projects and the program overall. By creating a connected community, it will promote a robust culture of sharing knowledge from experts (both within and external to the community), lessons learned in near-real time associated with implementation, having sharing common metrics that are both supportive of the projects and the program overall, and shared means of dissemination to broader communities of researchers and practitioners. This project has the broader potential of serving as a model for NSF programs for proactively developing the methods for shared learning and common metrics that have more commonly been developed and implemented at much later stages.To both support the projects and maintain awareness of the larger initiatives, we propose a Connected Community of Practice (CCOP). A Researcher-Evaluator Working Group (R-EWG) will form to provide a process for pursuing the shared research agenda developed through the CCOP. This structure will facilitate data collection, analysis, interpretation and dissemination at a program level. The approach will also generate a mechanism for those outside of the immediate RPP community to benefit from this investment by engaging in learning from the participants that will add value to the initial investment by supporting those undertaking the RPP work and scaling to a broader audience. Recognizing that the funded partnerships will likely be highly diverse in terms of size, context, research area and strength of working relationships, the project will deeply engage evaluators and researchers at the onset of the program to collaboratively develop a shared data set to capture participation data across projects, co-define an RPP research agenda to advance the field of CT/CS educational knowledge, and use the CS for All infrastructure for collaboration, learning and dissemination. This approach will lay the foundation for program-wide assessment and learning. The project will facilitate the community in developing a framework for answering: 1. What are the RPP-specific activities that are high-leverage/highly effective in affecting quality computer science education? 2. What common indicators are appropriate to collect across CS for All: RPP projects to demonstrate the relative and overall effectiveness of the RPP projects? 3. Using these indicators, what are the outcomes and impact of the CS for All: RPP projects for districts, teachers and students?

该项目将适应研究人员 - 实证人合作伙伴关系（RPP）的方法，以建立评估者和研究人员的能力研究，理解和报告其项目努力，并为所有人建立参与者驱动的，多站点的计算机科学研究议程：所有人：研究人员 - 抛弃者伙伴关系（CS for All：RPP）计划。该项目将与资助的合作伙伴关系社区共同致力于制定共同的研究议程，以促进对RPP模型的疗效以及对计算机科学（CS）和计算思维（CT）教育的影响的理解。互联社区将通过CSFORALL联盟将RPP研究和评估团队汇总到所有教育社区的更大CS。与较大社区的这种联系将确保双向传播 - 随着项目的智力优点，吸引了最大的研究人员和从业人员的受众，以及与资助的RPP之外的倡议的持续联系，以帮助分享学习和最佳实践。该项目将在RPP计划的研究议程上建立社区共识，这可能为未来的研究，计划评估和评估提供稳固的基础。该项目有可能影响CS对所有人的相对成功：RPP项目和整体计划。通过建立一个互联的社区，它将促进一种强大的文化，分享专家（在社区内部和外部）的知识，在与实施相关的近乎真实时期中学到的经验教训，拥有共享的共同指标，这些指标既支持项目又支持该计划，既支持项目又有共同的态度，并共同向更广泛的研究人员和实践者社区传播。该项目具有作为NSF计划的模型的更广泛潜力，用于积极开发共享学习和共同指标的方法，这些方法在更晚的阶段更常见和实施。既支持项目又要维持对较大计划的认识，我们提出了一个连接的实践社区（CCOP）。研究人员评估员工作组（R-EWG）将形成，以提供一个过程，以追求通过CCOP制定的共同研究议程。这种结构将在程序级别促进数据收集，分析，解释和传播。该方法还将为直接RPP社区以外的人创造一种机制，通过向参与者学习来从这项投资中受益，这将通过支持从事RPP工作并扩展更广泛的受众的人，从而为初始投资增加价值。 Recognizing that the funded partnerships will likely be highly diverse in terms of size, context, research area and strength of working relationships, the project will deeply engage evaluators and researchers at the onset of the program to collaboratively develop a shared data set to capture participation data across projects, co-define an RPP research agenda to advance the field of CT/CS educational knowledge, and use the CS for All infrastructure for collaboration, learning and dissemination.这种方法将奠定整个程序评估和学习的基础。该项目将促进社区开发回答的框架：1。在影响优质的计算机科学教育方面高杠杆/高度有效的RPP特定活动是什么？ 2。所有共同指标都适合所有CS收集：RPP项目以证明RPP项目的相对和整体有效性？ 3.使用这些指标，CS对所有人的结果和影响是什么：RPP项目针对地区，教师和学生？

项目成果

Exploring research practice partnerships for use in K--12 computer science education

探索用于 K--12 计算机科学教育的研究实践伙伴关系

• DOI: 10.1145/3477607
• 发表时间: 2021
• 期刊: ACM Inroads
• 作者: McGill, Monica M.;Peterfreund, Alan;Sexton, Stacey;Zarch, Rebecca;Kargarmoakhar, Maral
• 通讯作者: Kargarmoakhar, Maral

Community Design for Connected Communities of Practice in Computer Science Education Research

计算机科学教育研究中互联实践社区的社区设计

• DOI: 10.1145/3408877.3439646
• 发表时间: 2021
• 期刊: SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
• 作者: Wortel-London, Stephanie;DeLyser, Leigh Ann;Sexton, Stacey
• 通讯作者: Sexton, Stacey

Evaluation and assessment for improving CS teacher effectiveness

提高CS教师效能的评价与评估

• DOI: 10.1145/3410478
• 发表时间: 2020
• 期刊: ACM Inroads
• 作者: McGill, Monica M.;DeLyser, Leigh Ann;Brennan, Karen;Franke, Baker;Kaylor, Errol;Mayhew, Eric;Mills, Kelly;Yadav, Aman
• 通讯作者: Yadav, Aman