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: 1934975
• 负责人: Sarah Heckman
• 金额: $ 9.9万
• 依托单位: North Carolina State University
• 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
• 起止时间: 2020-01-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934975&HistoricalAwards=false
• 关键词: CUE; Collaborative; Research; Effective; Peer

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.

这项四所大学合作资助旨在招募和培养接近同龄人的本科生作为同伴教学研究员（ptf），为跨计算途径的学生提供可扩展的、高质量的支持。它建立在谷歌资助的一项资助上，该资助创建了一个软件环境，用于监控办公时间的面对面互动和在线讨论论坛。这项工作旨在识别和支持学生寻求帮助的模式，特别是在跨计算路径的调试实践方面。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寻求帮助互动的有效性，并创建同伴教师发展材料，支持有效的调试寻求帮助互动。该项目的目标是设计干预措施，支持通过PTF开发调试寻求帮助的交互。项目团队计划利用和改进现有的数据收集框架，通过办公时间和论坛收集数据。它将在各种环境中创建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），他们在招募和准备ptf方面推进知识和实践的状态，以支持不同计算途径的不同学生发展对独立性和自我效能至关重要的技能。该小组将举办一次同侪教学峰会，传播发展材料和其他研究成果。每月的团队会议将提供机会讨论收集的数据，并制定数据分析的通用指标和方法，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，PTF NIC和实现项目目标的进展将通过与咨询委员会的频繁会议进行评估。该项目有潜力推进知识和实践的状态，招募和准备本科生作为同伴教学研究员，以扩大跨计算途径的学生支持。它解决了在美国的STEM劳动力中建立一支强大而多样化的计算部队的需求。IUSE: CUE项目由EHR/DUE和CISE理事会CNS、CCF、IIS和OAC共同资助，反映了该项目与DUE的IUSE: EHR项目和CISE的补充项目的更广泛目标的一致性。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

Assessment of Self-Identified Learning Struggles in CS2 Programming Assignments

CS2 编程作业中自我识别学习困难的评估

• DOI: 10.1145/3587102.3588786
• 发表时间: 2023
• 期刊: ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1
• 作者: Zahn, Matthew;Gransbury, Isabella;Heckman, Sarah;Battestilli, Lina
• 通讯作者: Battestilli, Lina

Who Uses Office Hours?: A Comparison of In-Person and Virtual Office Hours Utilization

• DOI: 10.1145/3478431.3499334
• 发表时间: 2022-02
• 期刊: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1
• 作者: Zhi-cun Gao;S. Heckman;Collin Lynch

Characterizing Student Development Progress: Validating Student Adherence to Project Milestones

描述学生发展进度：验证学生对项目里程碑的遵守情况

• 发表时间: 2022
• 期刊: Proceedings of the 53rd ACM Technical Symposium on Com- puter Science Education
• 作者: Erickson, Bradley;Heckman, Sarah;Lynch, Collin F.
• 通讯作者: Lynch, Collin F.