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.

该项目将开发创新的软件，以扩大从计算机编程领域开始的免费一对一辅导的访问，这对于许多21世纪的工作至关重要。学习是最重要，最基本的终身努力之一。受过良好教育的公众对于维持健康，繁荣和创新的社会至关重要。无论主题如何，一对一的辅导是学习最有效的学习方式。尽管最近的MOOC（大规模开放在线课程）等最近的努力正在扩大访问讲座和其他教育材料的访问，但由于世界上的学习者比合格的专家辅导员，很难一对一地进行一对一的辅导。获得免费的在线教师的访问将特别受益于低收入学习者，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调查如何通过用户界面和算法来扩展计算机编程的同伴辅导，以及与辅导员与辅导员相匹配，在实时代价中进行实时代码和审查的档案，并进行了档次库存，并审查了档次库存，并进行了审查。核心思想是从大量的学习者中汲取灵感，同时访问在线教育资源，以作为彼此的同伴导师。尽管同龄人缺乏专家的深厚专业知识，但许多人是有效的导师，因为他们最近学习了材料，并且可以对学习者更好地同情。该项目将基于在线Python Tutor，这是一种基于Web的教育工具，研究人员创建了该工具，以可视化计算机代码的执行，这是Python语言中学习编程的最受欢迎的网站之一。该项目的具体目的是在在线Python Tutor网站上构建同行辅导系统，并使用它来研究在线同行辅导互动。该系统具有两个主要组件：1。）Pythonlive是一个用于计算机编程的实时补习接口，使多个用户能够同时编写，执行，可视化和聊天有关代码，单个辅导员，可以有效地处理多个同时搭配，并通过审查存档的辅助仪式来离线学习。 2.）TutorMatch是一个使用众包和机器学习的界面，将学习者与适当技能的同伴导师实时连接。总而言之，这项研究将为促进计算机编程的同行辅导提供新的基于软件的技术，该技术利用并为人类计算机互动，社交计算和计算机支持的合作学习而促进了并做出贡献。