Scalable Remote Peer Help for Programming Education

用于编程教育的可扩展远程同伴帮助

• 批准号: 1915515
• 负责人: Steve Oney
• 金额: $ 59.89万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1915515&HistoricalAwards=false
• 关键词: Scalable; Remote; Peer; Help; Programming

With support from the NSF Improving Undergraduate STEM Education Program: Education and Human Resources (IUSE: EHR), this project aims to serve the national interest by improving computer programming education. The project aims to augment the interactive textbook environment, Runestone, which offers online computer science courses with associated learning materials and programming exercises. The goal is to enable Runestone to provide context-specific help to students on exercises, including a mechanism to assist students in composing effective questions. The project team plans to develop predictive models for an accompanying system that matches students who are offering assistance with those requesting assistance. The effectiveness of the remote assistance system will be evaluated in three introductory Python programming courses: one at the lead institution, one at a community college, and one through a massive online course platform. Beyond increasing accessibility to help, this new functionality will support collaborative learning, which can help students develop a deeper understanding of course material as they clarify concepts through conversation. The project seeks to identify the factors that affect a student's willingness to help others, the effectiveness of the help, and the perceived learning value to the helper. By supporting students through collaborative learning, this project addresses the national demand for instructional resources to meet the increased demand for enrollment in computer science courses by both majors and non-majors.The goal of this project is to enable collaborative learning opportunities in computer programming courses offered by Runestone. To accomplish this goal, a tool that facilitates remote conversations about code (Chat.codes) will be extended and integrated into Runestone. This integration will enable students to request help from peers in the context of their online Runestone textbook. As students are working on an exercise, they will see requests for help associated with that exercise. Once a student clicks through to the conversation about a specific help request, the conversation will be indexed to code runs resulting from an editor shared by all participants. In addition to integration of a peer help function, the project will develop a tool to guide students in crafting well-formulated questions. Additional enhancements include the expansion of peer help beyond on-campus cohorts, thus increasing the pool of potential helpers, with the aim of matching help requests more selectively with helpers. This project has the potential to enrich computer science education in multiple contexts for thousands of students. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. This is a Development and Implementation project in the Engaged Student Learning track. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

在NSF改善本科STEM教育计划：教育和人力资源(IUSE：EHR)的支持下，该项目旨在通过改善计算机编程教育来服务于国家利益。该项目旨在增强互动教科书环境Runstone，该环境提供在线计算机科学课程，并提供相关学习材料和编程练习。其目标是使Runstone能够在练习中为学生提供特定背景的帮助，包括帮助学生撰写有效问题的机制。该项目团队计划为一个配套系统开发预测模型，将提供援助的学生与请求援助的学生进行匹配。远程协助系统的有效性将通过三门Python编程入门课程进行评估：一门在牵头机构，一门在社区大学，一门通过大型在线课程平台。除了增加可访问性以提供帮助外，这一新功能还将支持协作学习，这可以帮助学生在通过对话澄清概念的过程中加深对课程材料的理解。该项目旨在确定影响学生帮助他人的意愿、帮助的有效性以及对帮助者的学习价值的影响因素。该项目通过协作学习来支持学生，以满足国家对教学资源的需求，以满足专业和非专业对计算机科学课程日益增长的需求。该项目的目标是在Runstone提供的计算机编程课程中提供协作学习机会。为了实现这一目标，一个便于远程对话代码(Chat.code)的工具将被扩展并集成到Runstone中。这种整合将使学生能够在他们的在线Runstone教科书的背景下向同行请求帮助。当学生正在做练习时，他们将看到与该练习相关的帮助请求。一旦学生点击到关于特定帮助请求的对话，该对话将被索引到由所有参与者共享的编辑器产生的代码运行。除了整合同伴帮助功能外，该项目还将开发一个工具来指导学生精心设计问题。其他改进措施包括将同伴帮助扩展到校园队列之外，从而增加潜在帮助者的人数，目的是更有选择地将帮助请求与帮助者匹配。该项目有可能在多种背景下为数千名学生丰富计算机科学教育。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生的STEM教育的有效性。这是参与学生学习路径中的一个发展和实施项目。通过参与的学生学习路径，该计划支持有前景的实践和工具的创建、探索和实施。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。

项目成果

EdCode: Towards Personalized Support at Scale for Remote Assistance in CS Education

• DOI: 10.1109/vl/hcc50065.2020.9127260
• 发表时间: 2020-08
• 期刊: 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
• 作者: Yan Chen;Jaylin Herskovitz;Gabriel Matute;A. Wang;Sang Won Lee;Walter S. Lasecki;Steve Oney

PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises

PuzzleMe：利用同伴评估进行课堂编程练习

• DOI: 10.1145/3479559
• 发表时间: 2021
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Wang, April Yi;Chen, Yan;Chung, John Joon;Brooks, Christopher;Oney, Steve
• 通讯作者: Oney, Steve

VizProg: Identifying Misunderstandings By Visualizing Students’ Coding Progress

• DOI: 10.1145/3544548.3581516
• 发表时间: 2023-04
• 期刊: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Ashley Ge Zhang;Yuanchun Chen;Steve Oney

RunEx: Augmenting Regular-Expression Code Search with Runtime Values

• DOI: 10.1109/vl-hcc57772.2023.00024
• 发表时间: 2023-10
• 期刊: 2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
• 作者: A. Zhang;Yan Chen;Steve Oney

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials

Colaroid：一种用于创作可探索的多阶段教程的文学编程方法

• DOI: 10.1145/3544548.3581525
• 发表时间: 2023
• 期刊: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Wang, April Yi;Head, Andrew;Zhang, Ashley Ge;Oney, Steve;Brooks, Christopher
• 通讯作者: Brooks, Christopher