NRT- FW-HTF: Linguistic diversity across the lifespan (LINDIV): transforming training to advance human-technology interaction

NRT-FW-HTF：整个生命周期的语言多样性（LINDIV）：转变培训以促进人与技术的互动

• 批准号: 2125865
• 负责人: Janet van Hell
• 金额: $ 299.99万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125865&HistoricalAwards=false
• 关键词: NRT; FW; HTF; Linguistic; diversity

Technology such as smart voice assistants or computer-based intelligent tutoring systems has become crucial to people’s private lives, education, and the workforce. This technology is largely based on standard American English and the misconception that there is a single, idealized variety of American English, which conflicts with the true diversity of language users. Many U.S. speakers use a regional variety of American English, African American Vernacular English, a signed language, a language other than English, or have some form of communication disorder. As the U.S. population is becoming older, age-related hearing loss and language impairments will also increase. The linguistic sophistication of technology has not kept pace with the growing linguistic diversity within the U.S. This technology is intended to improve the lives of humans and society at large, and people increasingly depend on it for access to governmental, community, health, and educational services, making the technology’s current reliance on standard American English problematic. This National Science Foundation Research Traineeship award to the Pennsylvania State University will educate a new generation of experts in human-technology interactions to address this issue. The project anticipates training 48 graduate students, including 23 funded trainees, from graduate programs in Psychology, German, Spanish, Communication Science and Disorders, Computer Science and Engineering, Information Sciences and Technology, and Learning Design and Technology. The comprehensive two-year traineeships will prepare trainees to address key challenges in human-technology interactions. Improvements in human-technology interactions will help ensure the full participation of individuals with diverse language backgrounds, fostering an equal, diverse, and inclusive society.By applying integrated learning and transdisciplinary team science principles, trainees will be prepared to bridge the gap between language science and technology. Trainees will also be prepared to think beyond disciplinary boundaries. This approach is considered optimal to prepare the next generation for the future of work. In a two-year program culminating in the new graduate certificate ‘Linguistic Diversity and Technology’, trainees will complete cross-disciplinary courses and professional development in language and technology. Trainees will work on transdisciplinary team research projects that address tractable goal and produce clear products, such as a design project, pilot application, or research study focused on integrating language science and human-technology interaction. Trainees will also participate in seminars, research events, mentoring, and a linguistic diversity outreach program. They will complete the program with an internship with academic and private sector extramural partners to support careers bridging linguistics and technology, both inside and outside academia, in national and international settings. Trained to work in diverse teams, trainees will be competent in creating knowledge and translating research outcomes into technological solutions that alleviate social, educational, and economic disparities for linguistically diverse populations.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

智能语音助手或基于计算机的智能辅导系统等技术对人们的私人生活，教育和劳动力至关重要。这项技术主要基于标准的美国英语和误解，即有一个，理想化的美国英语，这与语言使用者的真实多样性相抵触。许多美国演讲者使用各种美国英语，非裔美国人的白话英语，一种签名语言，一种英语以外的语言或具有某种形式的交流障碍。随着美国人群的年龄较大，与年龄相关的听力损失和语言障碍也将增加。技术的语言社会化与美国境内日益增长的语言多样性并没有跟上这项技术旨在改善人类和整个社会的生活，而人们越来越依靠它来获得政府，社区，健康和教育服务，从而使技术当前对标准美国英国有问题的依赖。宾夕法尼亚州立大学的这项国家科学基金会研究训练奖将教育新一代的人类技术互动专家，以解决这一问题。该项目预计培训48名研究生，包括23名资助的学员，来自心理学，德语，西班牙语，传播科学和疾病，计算机科学和工程，信息科学与技术以及学习设计与技术的研究生课程。全面的为期两年的学员将为受训者做好准备，以应对人类技术互动中的关键挑战。人工技术互动的改善将有助于确保具有潜水员语言背景的个人的全面参与，促进一个平等，潜水和包容性的社会。通过应用综合学习和跨学科团队科学原则，受训者将准备弥合语言科学和技术之间的差距。学员还将准备超越学科界限。这种方法被认为是为下一代工作做准备的最佳选择。在一项为期两年的课程中，最终在新的研究生证书“语言多样性和技术”中，学员将完成跨学科课程和语言和技术的专业发展。受训者将研究跨学科团队研究项目，以解决可拖动目标并生产明确的产品，例如设计项目，试点应用程序或研究研究，重点是整合语言科学和人类技术互动。受训人员还将参加半手赛，研究活动，心理和语言多样性外展计划。他们将通过与学术和私营部门的校外伙伴实习来完成该计划，以支持在国家和国际环境中桥接语言学和技术的职业。受过培训的学员将有能力创建知识并将研究成果转化为技术解决方案，以减轻语言多元化人群的社会，教育和经济差异。NSFResearch训练（NRT）计划旨在鼓励对STEM毕业培训的大胆发展和实施的大胆发展和实施。该计划致力于通过全面的跨学科或收敛性研究领域的STEM研究生进行有效培训，通过全面的培训模型，这些模型具有创新性，基于循证的，并且与不断变化的劳动力和研究需求保持一致。该奖项反映了NSF的法定任务，并通过使用基金会的知识优点和广泛影响来评估NSF的法定任务，并被视为值得的支持。