Refining learner knowledge and responses through a coadaptive tutoring system

通过自适应辅导系统完善学习者的知识和反应

• 批准号: 485376-2015
• 负责人: Stevenson, Suzanne
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584907
• 关键词: Refining; learner; knowledge; responses; through

This project would bring together the expertise of researchers at the University of Torontos Department of Computer Science, and the innovative software platform being developed by the Ontario-based start-up NeuRecall Inc. This software is an intelligent tutoring system, running in web browsers or as an app on mobile devices. The software will be able to adapt to any given learner by asking individualized questions in a wide variety of subjects and formats. It will be useful both for study and test preparation by learners, and for test creation and delivery by teachers. The work proposed here would upgrade this software platform, so that it can automatically create meaningful content from existing sources online; convert this content into questions to train and test users; present these questions both aurally and visually; decode spoken English responses; train accent-free speech in other languages; and evaluate responses ranging from single words to entire essays. These upgrades would allow the company to launch a commercial version of its system for language training and test preparation. The joint contributions of OCE, NSERC, and NeuRecall would lead directly to job creation at the company and to the commercialization of computer science research in areas such as natural language processing. The project will also lead to subsequent revenue generation and job creation as the company grows and as its collaboration with academic partners deepens.

该项目将汇集英国大学研究人员的专业知识 多伦多计算机科学系，以及创新的软件平台 由位于安大略省的初创公司 NeuRecall Inc. 开发。该软件是一款智能软件 辅导系统，在网络浏览器中运行或作为移动设备上的应用程序运行。软件 将能够通过广泛地提出个性化问题来适应任何特定的学习者 各种主题和形式。这对于学习和考试准备都很有用 供学习者以及教师创建和实施测试。这里提出的工作将 升级这个软件平台，使其能够自动创建有意义的内容 来自现有的在线资源；将此内容转换为问题来培训和测试用户； 从听觉和视觉上提出这些问题；解码英语口语回答； 训练其他语言的无口音演讲；并评估从单个 整篇文章的单词。这些升级将使公司能够推出商业产品 用于语言培训和考试准备的系统版本。共同贡献 OCE、NSERC 和 NeuRecall 将直接为公司创造就业机会，并 自然语言等领域的计算机科学研究的商业化 加工。该项目还将带来后续的创收和就业机会 随着公司的发展以及与学术合作伙伴的合作的加深。