Intelligent Science Exhibits: Transforming Hands-on Exhibits into Mixed-Reality Learning Experiences

智能科学展览：将动手展览转变为混合现实学习体验

• 批准号: 1612744
• 负责人: Ken Koedinger
• 金额: $ 29.98万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1612744&HistoricalAwards=false
• 关键词: Intelligent; Science; Exhibits; Transforming; Hands

The project will develop and research a new system that bridges the advantages of physical and virtual worlds to improve young children's inquiry-based science learning and engagement in a collaborative way. The project will use innovative technology and successful techniques developed for adaptive tutoring systems and bring this core research into informal learning settings where they haven't been applied before, with the goal of increasing engagement, learning and deep inquiry-based understanding in these environments. Museums and similar informal learning settings offer opportunities for children and families to learn together in an engaging way. However, without learning supports provided by people, signage, or technology, people often miss the point of the learning activity in museums. The project will develop a new genre of "intelligent" interactive science exhibits that combine proven intelligent tutoring system approaches with camera-based vision sensing to add a new layer to hands-on museum exhibits. This intelligent layer provides personalized interactive feedback to museum visitors while they experiment with physical objects in the real world. The project is a collaborative effort led by the Human Computer Interaction Institute at Carnegie Mellon University in partnership with the University of Pittsburgh Learning Research and Development Center, Children's Museum of Pittsburgh, and Carnegie Science Center. It is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.The project will research whether and how learning principles and adaptive, computer-based technologies that are effective in formal school learning be made effective in an informal museum experience with hands-on activities to enhance the learning and engagement of children and parents. The system will use intelligent camera sensing that tracks and notices children's interaction in physical and virtual spaces and provides adaptive personalized feedback via the help of an engaging character. It guides the children as well as the parents to engage in productive dialogue, helping shape a better parent-child interaction. To investigate this, the project will further develop an innovative mixed-reality system and smart adaptive system that gives personalized feedback to visitors based on their actions, guiding them to understand the world around them like a scientist. The project will gather data on learner behaviors in mixed-reality experiences in informal settings to inform how to better design intelligent science exhibits and derive patterns to support key outcomes, including learning, engagement, collaboration, and productive dialogue. The project will also research the application of these design patterns across different science content areas.

该项目将开发和研究一个新的系统，将物理和虚拟世界的优势结合起来，以合作的方式改善幼儿基于探究的科学学习和参与。 该项目将使用为自适应辅导系统开发的创新技术和成功技术，并将这一核心研究带入以前从未应用过的非正式学习环境，目标是增加参与，学习和深入探究这些环境中的理解。博物馆和类似的非正式学习场所为儿童和家庭提供了以参与的方式共同学习的机会。然而，如果没有人、标识或技术提供的学习支持，人们往往会错过博物馆学习活动的重点。该项目将开发一种新的“智能”互动科学展品，将联合收割机成熟的智能辅导系统方法与基于摄像头的视觉传感相结合，为博物馆展品的动手操作增加一个新的层次。当博物馆参观者在真实的世界中体验物理对象时，这个智能层为他们提供个性化的交互反馈。该项目是由卡内基梅隆大学人机交互研究所与匹兹堡大学学习研究与发展中心，匹兹堡儿童博物馆和卡内基科学中心合作领导的一项合作努力。该项目由推进非正式STEM学习（AISL）计划资助研究和创新资源，用于各种环境，作为其整体战略的一部分，以加强非正式环境中的学习。该项目将研究学习原则和适应性，在正式学校学习中有效的基于计算机的技术，在非正式的博物馆体验中也能发挥作用，加强儿童和家长的学习和参与的活动。该系统将使用智能摄像头传感，跟踪和注意儿童在物理和虚拟空间中的互动，并通过迷人的角色提供自适应的个性化反馈。它引导孩子和父母进行富有成效的对话，帮助形成更好的亲子互动。为了研究这一点，该项目将进一步开发一个创新的混合现实系统和智能自适应系统，根据游客的行动向他们提供个性化的反馈，引导他们像科学家一样了解周围的世界。该项目将收集非正式环境中混合现实体验中学习者行为的数据，以指导如何更好地设计智能科学展览并获得支持关键成果的模式，包括学习，参与，协作和富有成效的对话。该项目还将研究这些设计模式在不同科学内容领域的应用。