I-Corps: Translation potential of using artificial intelligence (AI) for an interactive and inclusive language-learning process designed for young children

I-Corps：使用人工智能 (AI) 为幼儿设计的交互式和包容性语言学习过程的翻译潜力

• 批准号: 2418277
• 负责人: Amy Quarkume
• 金额: $ 5万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418277&HistoricalAwards=false
• 关键词: Corps; Translation; potential; using; artificial; Corps; Translation; potential; using; artificial

The broader impact of this I-Corps project is the development of a language learning technology tailored for young children from various ethnic backgrounds. Currently, the world is increasingly becoming more diverse and the need for children to learn multiple languages is growing. The technology may allow children to learn how to speak in their native language and also learn how to speak English, Spanish, French, as well as other languages. The technology uses audio recordings of family members, which are then edited and crafted into fun and interactive language-learning experiences for kids. The use of family members’ voices may also provide a more personal and engaging experience for children, allowing them to feel more connected to their culture. In addition, children can make their own stories, giving them a sense of pride and ownership of their language learning. The technology may benefit natural language processing scientists and researchers who conduct race related research in universities and institutes, parents of children with ethnic backgrounds looking to use inclusive assisted technologies for speech, school districts and teachers who use edtech to assist students with the language learning process, and speech language pathologists and their practices looking to incorporate the use of language learning products from a culturally-responsive pedagogical framework.This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the proposed technology. The technology is based on the prior development of diverse, equitable, and inclusive natural language processing (NLP) for the purpose of assisting young diverse learners with speech challenges. The use of natural language processing as assistive technology embedded in language learning products is becoming increasingly important for children during their language learning process. Natural language processing is used to interpret and understand spoken language, while speech recognition software is used to recognize the spoken words and convert them into text. In addition, a user interface and data storage will be used to store the recordings and play them back to compare the child’s own voice to the recorded voice of family members. The technology addresses the educational needs of children but also aligns with the broader societal goals of fostering inclusivity and diversity in this emerging field.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I-Corps项目的更广泛的影响是开发针对来自各种种族背景的幼儿量身定制的语言学习技术。目前，世界越来越多地变得越来越多样化，儿童学习多种语言的需求正在增长。该技术可能使孩子们学习如何用母语说话，并学习如何说英语，西班牙语，法语以及其他语言。该技术使用家庭成员的录音，然后为孩子们编辑和精心制作成有趣和互动的语言学习体验。家庭成员的声音的使用也可能为儿童提供更具个性和吸引力的体验，从而使他们与自己的文化更加联系。此外，孩子们可以制作自己的故事，使他们对自己的语言学习有一种自豪感和所有权。 The technology may benefit natural language processing scientists and researchers who conduct race related research in universities and institutes, parents of children with ethnic backgrounds looking to use inclusive assisted technologies for speech, school districts and teachers who use edtech to assist students with the language learning process, and speech language pathologists and their practices looking to incorporate the use of language learning products from a culturally-responsive pedagogical framework.This I-Corps project utilizes expert learning再加上行业生态系统的第一手投资，以评估拟议技术的翻译潜力。该技术基于潜水员，公平和包容性的自然语言处理（NLP）的先前发展，目的是协助年轻的潜水员学习言语挑战。在语言学习过程中，将自然语言处理用作嵌入语言学习产品中的辅助技术变得越来越重要。自然语言处理用于解释和理解语言语言，而语音识别软件则用于识别口语单词并将其转换为文本。此外，将使用用户界面和数据存储来存储录音并播放它们，以将孩子的声音与家人的录制声音进行比较。该技术解决了儿童的教育需求，同时又符合在这个新兴领域促进包容性和多样性的更广泛的社会目标。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子和更广泛的影响来评估NSF的法定任务。