Learning and Intelligent Systems: CIRCLE: Center for Interdisciplinary Research on Constructive Learning Environments

学习和智能系统：CIRCLE：建设性学习环境跨学科研究中心

• 批准号: 9720359
• 负责人: Kurt VanLehn
• 金额: $ 499.78万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9720359&HistoricalAwards=false
• 关键词: Learning; Intelligent; Systems; CIRCLE; Center

9720359 Kurt Van Lehn University of Pittsburgh CIRCLE: Center for Interdisciplinary Research on Constructive Learning Environments The Center has three main goals. First, the Center seeks to understand an extremely effective pedagogy, human tutoring. This will be achieved by using protocol analysis, eye tracking and controlled experiments to study human tutors and contrast them to existing computer tutors. The overarching hypothesis is that students learn best when they construct knowledge for themselves. The second goal of the Center is to build and test new generation of computer tutoring systems that encourage students to construct the target knowledge instead of telling it to them. The student's self-construction may need to be delicately guided via prompting, Socratic questioning or other means, This goal will be achieved by adding advanced planning and natural language components to existing intelligent tutoring systems and testing the new tutors in collaborating schools. The Center's third goal is to help integrate this new technology into existing educational practices. This goal will be achieved by working with practitioners and schools throughout the development process, by upgrading tutors that are already in use by thousands of students, and by forming partnerships with other projects, centers and industries. Achieving the three Center goals will impact multiple disciplines. Understanding why human tutors are so effective should have a significant impact on the psychology of learning. Computer science will be advanced by developing systems that can reactively plan natural language hints and questions that get a student to learn. Education will be improved as the Center's constructivist technology and instructional methods prove to be effective in actual use and become widely available.

9720359 Kurt Van Lehn匹兹堡大学圈子：建设性学习环境的跨学科研究中心中心有三个主要目标。 首先，该中心试图了解一种极为有效的教学法，人类的辅导。 这将通过使用协议分析，眼动跟踪和受控实验来研究人的导师并将其与现有计算机老师进行对比。 总体假设是学生在为自己构建知识时学习得最好。 该中心的第二个目标是构建和测试新一代的计算机补习系统，以鼓励学生构建目标知识，而不是告诉他们。 可能需要通过提示，苏格拉底询问或其他手段来精心指导学生的自我建设，通过将高级计划和自然语言组件添加到现有智能辅导系统并在协作学校中测试新的老师，可以实现此目标。 该中心的第三个目标是帮助将这项新技术集成到现有的教育实践中。 通过在整个发展过程中与从业人员和学校合作，通过升级已经在数千名学生使用的导师以及与其他项目，中心和行业建立合作伙伴关系的情况下，可以实现这一目标。 实现三个中心目标将影响多个学科。 了解为什么人类导师如此有效应该对学习心理学产生重大影响。 计算机科学将通过开发可以反应地计划自然语言提示和问题的系统来提高计算机科学。 教育将得到改善，因为该中心的建构主义技术和教学方法被证明可以有效实际使用并广泛使用。