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CUE: Collaborative Research: Effective Peer Teaching Across Computing Pathways

CUE: Collaborative Research: Effective Peer Teaching Across Computing Pathways
CUE:协作研究:跨计算途径的有效同伴教学
批准号:
1935045
负责人:
Kristy Boyer
金额:
$8.71万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2022-06-30

项目摘要

项目成果

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中文摘要
翻译
这项由四家机构合作的资助旨在招募和准备本科生的近邻作为同行教学研究员(PTF),为学生提供可扩展的、高质量的跨计算途径的支持。它建立在谷歌资助的一项拨款的基础上,该拨款创建了一个软件环境,用于监控面对面的办公时间互动和在线讨论论坛。这项工作旨在确定和支持学生的求助模式,特别是关于跨计算路径的调试实践。它将调查不同学生面对面或在线寻求帮助的方式,提高以调试为重点的求助互动的有效性,并创建支持有效调试求助互动的同伴教师发展材料。该项目的目标是通过PTF开发设计支持调试求助互动的干预措施。项目组计划利用和改进现有的数据收集框架,以便通过办公时间和讨论论坛收集数据。它将在各种背景下创建PTF开发材料,以帮助教授调试技能,并分析这些材料和专业发展的影响。研究人员打算建立一个由研究人员和实践者组成的网络改进社区(NIC),他们推动有关招募和准备PTF的知识和实践状况,以支持不同的学生通过各种计算途径发展对独立和自我效能至关重要的技能。该小组将主办一次同行教学峰会,以传播发展材料和其他发现。每月的团队会议将提供讨论收集的数据并制定数据分析的通用指标和方法的机会,以增加对跨学科学生如何以及为什么寻求帮助以及学生如何处理调试活动的理解。最后,将通过与咨询委员会的频繁会议对临时技术援助基金NIC和实现项目目标的进展情况进行评估。该项目有可能推动知识和实践的状态,招募和准备本科生的近邻作为同行教学研究员,以扩大学生在计算路径上的支持。它解决了为国家的STEM劳动力建立一个强大和多样化的计算部门的需要。该IUSE:CUE项目由EHR/DUE和CESE主管CNS、CCF、IIS和OAC共同资助,反映了该项目与IUSE:EHR计划在国际教育与发展组织的适当和补充计划中的更广泛目标的一致性。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。
英文摘要
This four-institution collaborative grant aims to recruit and prepare undergraduate near-peers as Peer Teaching Fellows (PTFs) to provide scalable, high-quality support for students across computing pathways. It builds on a Google-funded grant that created a software environment to monitor in-person office hour interactions and online discussion forums. This effort aims to identify and support student help-seeking patterns specifically with respect to debugging practices across computing pathways. It will investigate the ways in which diverse students seek help in-person or online, increase the effectiveness of help-seeking interactions that focus on debugging, and create Peer Teacher development materials that support effective debugging help-seeking interactions.The goal of the project is to design interventions that support debugging help-seeking interactions through PTF Development. The project team plans to utilize and refine existing data collection frameworks to gather data through office hours and discussion forums. It will create PTF development materials in a variety of contexts to help teach debugging skills, and analyze the impact of these materials and professional development. The researchers intend to build a Networked Improvement Community (NIC) of researchers and practitioners who advance the state of knowledge and practice on recruiting and preparing PTFs to support diverse students across a spectrum of computing pathways to develop skills critical to independence and self-efficacy. The team will host a Peer Teaching Summit to disseminate development materials and other findings. Monthly team meetings will provide opportunities to discuss the data collected and develop common metrics and approaches for data analysis, in order to increase understanding of how and why interdisciplinary students seek help and how students approach debugging activities. Lastly, the PTF NIC and progress toward meeting project goals will be evaluated through frequent meetings with the advisory board. The project has the potential to advance the state of knowledge and practice around recruiting and preparing undergraduate near-peers as Peer Teaching Fellows to scale student support across computing pathways. It addresses the need to build a strong and diverse computing arm of the nation's STEM workforce. This IUSE: CUE project is co-funded by EHR/DUE and CISE Directorates CNS, CCF, IIS, and OAC, reflecting the project's alignment with the broader goals of the IUSE: EHR program in DUE and complementary programs in CISE.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.
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