CAP: Building Partnerships for Education and Speech Research

一个新的技术时代正在语音识别和分析领域出现。通过Siri和谷歌翻译等令人印象深刻的工具的日益可用性，这一点已经开始变得公开可见，但这些消费者就绪的工具只是触及了研究质量语音工程应用程序所释放的潜力的表面。然而，这些能力实际上仍然没有得到教育研究界的承认。这个为期一年的能力建设项目（CAP）将建立顶尖研究人员之间的伙伴关系，并通过一系列研讨会，汇集四个领先的口语技术和教育研究小组，发展教育和语音工程背景的专业知识。该项目将联合康科德联盟和SRI国际学习技术中心的广泛教育研究和教育技术背景，并将他们与口语技术研究中最强大的两个团体，SRI国际语音技术和研究实验室以及德克萨斯大学达拉斯的鲁棒语音系统中心联系在一起。 这将为教育研究领域提供基础，如合作，论证，话语分析，教师提问，情感和参与。口语技术将为接近这些研究领域提供效率，洞察力和全新的方法，他们将这样做，而学生和教师将采取更自然的模式-那些自然主义的基于语言的互动，已经形成了数千年的教育交流的基础。该项目将收集和总结有关这些领域现状的适用知识，并产生适合汇集和帮助启动一个新的跨学科研究领域的中心论文和动力，即教育口语技术。本CAP提案的工作将产生最初的必要联系，并创建迈向提案、行动和研究所需的第一个定义。

A new age of technology is dawning on the field of speech recognition and analysis. This has begun to become publicly visible through the increasing availability of impressive tools such as Siri and Google Translate, but these consumer-ready tools only scratch the surface of the potential that research-quality speech engineering applications unlock. However, these capabilities remain practically unrecognized by the education research community. This one-year Capacity-Building Project (CAP) will build partnerships among top researchers and develop expertise from both education and speech engineering backgrounds through a series of workshops to bring together four leading spoken language technology and education research groups. This project will unite the extensive education research and educational technology backgrounds at the Concord Consortium and SRI International's Center for Technology in Learning and bring them together with two of the strongest groups in spoken language technology research, the Speech Technology and Research Laboratory at SRI International and the Center for Robust Speech Systems at the University of Texas at Dallas. This will provide the foundations for educational research areas as diverse as collaboration, argumentation, discourse analysis, teacher questioning, emotion, and engagement. Spoken language technologies will provide efficiencies, insight, and entire new methodologies for approaching these research areas, and they will do so while students and teachers assume more natural modes - those of the naturalistic language-based interactions that have formed the basis of educational interchange for millennia. This project will gather and summarize applicable knowledge about the current state of these fields and generate central papers and momentum suitable for bringing together and helping launch a new interdisciplinary field of study, spoken language technology for education. The work of this CAP proposal will generate the initial necessary connections and create the first definitions required to move toward proposals, actions, and research.