CRII: CHS: Scaling Up Online Peer Tutoring of Computer Programming

CRII：CHS：扩大计算机编程在线同伴辅导

• 批准号: 1463864
• 负责人: Philip Guo
• 金额: $ 17.5万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1463864&HistoricalAwards=false
• 关键词: CRII; CHS; Scaling; Up; Online

This project will develop innovative software to broaden access to free one-on-one tutoring, starting in the domain of computer programming, which is crucial for many kinds of 21st-century jobs. Learning is one of the most important and fundamental lifelong endeavors. A well-educated public is crucial for maintaining a healthy, prosperous, and innovative society. Regardless of subject, one-on-one tutoring is the most personal and effective way to learn. Although recent efforts such as MOOCs (Massive Open Online Courses) are scaling up access to lectures and other educational materials, it is hard to scale up one-on-one tutoring to online settings because there are far more learners in the world than qualified expert tutors. Access to free online tutors will especially benefit lower-income learners, who are more likely to be from rural areas or underrepresented minority groups.The technical objective of this project is to investigate how to scale up peer tutoring of computer programming through user interfaces and algorithms for matching learners with tutors, hosting tutoring sessions within real-time code visualizations, and reviewing archived sessions. The central idea is to draw from the large pool of learners concurrently accessing online educational resources to serve as peer tutors for one another. Although peers lack the deep expertise of experts, many are effective tutors since they recently learned the material and can empathize better with learners. This project will build upon Online Python Tutor, a Web-based educational tool that the researcher created to visualize the execution of computer code, now one of the most popular websites for learning programming in the Python language. This project's specific aims are to build a peer tutoring system atop the Online Python Tutor website and to use it to study online peer tutoring interactions. The system has two main components: 1.) PythonLive is a real-time tutoring interface for computer programming that enables multiple users to concurrently write, execute, visualize, and chat about code, a single tutor to effectively handle multiple simultaneous tutees, and offline learning by reviewing archived tutoring sessions. 2.) TutorMatch is an interface that uses crowdsourcing and machine learning to connect learners with appropriately-skilled peer tutors in real-time. In sum, this research will contribute new software-based techniques to facilitate peer tutoring of computer programming, which draws upon and contributes to the fields of human-computer interaction, social computing, and computer-supported cooperative learning.

该项目将开发创新软件，以扩大免费一对一辅导的覆盖面，从计算机编程领域开始，这对21世纪的许多工作都至关重要。学习是最重要和最基本的终身努力之一。受过良好教育的公众对维持一个健康、繁荣和创新的社会至关重要。不管是什么科目，一对一的辅导都是最个人化、最有效的学习方式。尽管mooc（大规模在线开放课程）等最近的努力正在扩大获得讲座和其他教育材料的机会，但很难将一对一辅导扩大到在线环境，因为世界上的学习者远远多于合格的专家导师。获得免费的在线辅导尤其有利于低收入的学习者，他们更有可能来自农村地区或代表性不足的少数群体。该项目的技术目标是研究如何通过用户界面和算法来扩大计算机编程的同伴辅导，以匹配学习者和导师，在实时代码可视化中主持辅导课程，并审查存档课程。其核心思想是从大量同时访问在线教育资源的学习者中抽取资源，作为彼此的同伴导师。虽然同龄人缺乏专家的深厚专业知识，但许多人都是有效的导师，因为他们最近才学会了这些材料，可以更好地理解学习者。这个项目将建立在在线Python导师的基础上，这是一个基于网络的教育工具，研究人员创建了它来可视化计算机代码的执行，现在是学习Python语言编程的最受欢迎的网站之一。这个项目的具体目标是在Online Python Tutor网站上建立一个同伴辅导系统，并用它来研究在线同伴辅导的互动。该系统主要由两个部分组成：PythonLive是一个用于计算机编程的实时辅导界面，它使多个用户能够并发地编写、执行、可视化和讨论代码，单个导师可以有效地处理多个同时的辅导，以及通过查看存档的辅导课程进行离线学习。2)。TutorMatch是一个使用众包和机器学习的界面，将学习者与技能适当的同行导师实时联系起来。总之，本研究将提供新的基于软件的技术来促进计算机编程的同伴辅导，这将借鉴并有助于人机交互、社会计算和计算机支持的合作学习等领域。