SBIR Phase I: Adaptive Dialog Systems As Second Language Learning Partners

SBIR 第一阶段：自适应对话系统作为第二语言学习伙伴

• 批准号: 2213202
• 负责人: Zhou YU
• 金额: $ 25.6万
• 依托单位: Articulate.AI Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213202&HistoricalAwards=false
• 关键词: SBIR; Phase; Adaptive; Dialog; Systems

The broader impact of this Small Business Innovation Research (SBIR) Phase I project centers on offering a lower-cost, more accessible alternative to help people everywhere learn to speak a new language. By using state-of-the-art conversational artificial intelligence (AI), the project offers students individualized, curriculum-based learning that is affordable and accessible 24 hours a day, with no limits on the amount of time they can practice. Additionally, the AI system will be able to analyze learners’ speech to offer suggestions on ways to improve their grammar and conversational fluency, in much the same way a trained tutor would assist a student. The project brings conversational AI to the language learning market, enabling a more effective, entertaining, and low-cost product to transform the current language learning paradigm.This Small Business Innovation Research (SBIR) Phase I project is an innovative integration effort to combine state-of-the-art AI technologies for education applications. The project will contribute new user-adaptive algorithms and datasets for dialog policy training on language learning tasks. The project will contribute to the company’s open-source, multimodal, dialog system framework to enable the dialog community to reduce the entry barrier for multimodal dialog system research. The project will also provide the community with an annotated conversational dataset for grammatical error correction along with a trained grammar correction model and grammar error type detector. The developed educational dialog systems for second language communication learning can also serve as a general framework for education experts to test different learning theories. This project will also explore hypotheses of whether adaptive conversation experience and different feedback structures will impact learner confidence and learning gain.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.

这个小企业创新研究 (SBIR) 第一阶段项目的更广泛影响集中在提供一种成本更低、更容易使用的替代方案，通过使用最先进的对话人工智能来帮助世界各地的人们学习新语言。 AI），该项目为学生提供个性化、基于课程的学习，价格实惠，每天 24 小时均可进行，练习时间没有限制。此外，AI 系统将能够分析学习者的语音。就如何提高语法和会话能力提供建议流畅性，就像训练有素的导师帮助学生一样，该项目将对话式人工智能引入语言学习市场，从而提供更有效、更有趣、更低成本的产品来改变当前的语言学习范式。这种小型企业创新。研究（SBIR）第一阶段项目是一项创新集成工作，旨在将最先进的人工智能技术结合到教育应用中，该项目将为语言学习任务的对话政策培训提供新的用户自适应算法和数据集。公司的开源，该项目还将为社区提供用于语法错误纠正的带注释的对话数据集以及经过训练的语法纠正模型和语法错误类型检测器。开发的用于第二语言交流学习的教育对话系统也可以作为教育专家测试不同学习理论的通用框架，该项目还将探索自适应对话体验和不同反馈结构是否会影响学习者信心和学习收益的假设。 NSF 奖项反映了法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。