ITR: Collaborative Research: Putting a Face on Cognitive Tutors: Bringing Active Inquiry into Active Problem Solving

albert corbett卡耐基梅隆大学itr：合作研究：认知导师的面貌：将主动探究带入主动解决问题合作项目与：michelene chib匹兹堡大学该项目建立在关于有效学习和辅导策略的不断增长的研究基础上。该项目包括构建和评估模仿人类导师的教育技术，通过将一种称为认知导师的最先进的教育技术与一种称为合成访谈的创新互动提问环境相结合，产生一种与人类导师的有效性相媲美的非活动学习环境。认知导师是围绕解决问题知识的认知模型建立起来的，并准确地为学生提供成功完成问题所需的支持。单独使用认知辅导并不支持主动学习者所特有的寻求帮助和元认知技能。通过结合一种名为“合成访谈”的新型互动交流技术，提供了一种与人类导师在支持学生深度学习方面的有效性相媲美的主动学习环境。综合访谈通过提供与个人进行深入对话的方法，使学习者能够积极地进行探究。合成访谈允许以一种新的形式获取知识，提供类似于专家系统的实用程序，但开发工作接近于简单的对话视频录制。主动学习环境作为一种研究工具来检查计算和教学挑战，也作为教室和家庭的教育环境。特别是，围绕这种学习环境构建的知识领域是数学和生物课程。本项目有望在认知科学、计算机科学和教育实践领域做出重要贡献，包括：1)综合访谈中学生问题的分析将有助于建立陈述性概念知识和程序性问题解决知识之间功能关系的基本认知模型；2)本项目将整合学生知识的认知模型和辅导对话结构。更一般地说，该项目将有助于定义智能学习环境的设计和工程过程。3)该研究将为更有效的基于计算机的学习环境的设计提供信息。4)研究和主动学习环境对职前教师和在职教师的专业发展都有促进作用。本项目开发的数学和生物主动学习环境有望直接改善全国的教育实践。目前，全国约有2%的中学和高中已经开始使用认知数学家教。对有效的数学和科学教育的需求持续增长。各州正在提高数学毕业要求，并制定指导学生毕业和学校评估的评估方法。如果主动学习环境比当前一代认知导师更有效，它们有望迅速进入广泛的课堂使用。

EIA-0205301Albert CorbettCarnegie-Mellon UniversityITR: Collaborative Research: Putting a Face on Cognitive Tutors:Bringing Active Inquiry into Active Problem SolvingCollaborative project with:0205506Michelene ChiUniversity of PittsburghThis project builds on a growing body of research concerning effective learning and tutoring strategies. The project involves constructing and evaluating educational technology that emulates human tutors by integrating a state-of-the art educational technology called Cognitive Tutors with a innovative interactive questioning environment called Synthetic Interviews to produce an inactive learning environment that rivals the effectiveness of human tutors. Cognitive tutors are built around a cognitive model of problem solving knowledge and provide precisely the support students need to complete problems successfully. Used alone, cognitive tutors do not support the help-seeking and meta-cognitive skills that characterize active learners. By incorporating a novel interactive communication technology called Synthetic Interviews, an Active Learning Environment is offered that rivals the effectiveness of human tutors in supporting deep student learning. Synthetic Interviews allow learners to engage in active inquiry by providing the means for conversing in-depth with an individual. Synthetic Interviews permit knowledge capture in a new form providing utility similar to an expert system but a development effort approaching the simple video taping of a conversation. The Active Learning Environment serves as a research tool to examine both computational and pedagogical challenges and also as an educational environment in classrooms and homes. In particular, the domains of knowledge that are constructed around this learning environment are mathematics and biology courses. The project promises to make important contributions to cognitive science, computer science and educational practice including the following: 1) The analysis of student questions during synthetic interviews will contribute to basic cognitive models of the functional relationship between declarative conceptual knowledge and procedural problem solving knowledge, 2) This project will integrate cognitive models of student knowledge and tutorial dialogue structure. More generally, the project will help define a design and engineering process for intelligent learning environments, 3) The research will inform the design of more effective computer-based learning environments. 4) The research and the active learning environment can support improved professional development both for pre-service and in-service teachers. The Active Learning Environments for mathematics and biology that are developed in this project promise to directly improve educational practice nationally. Current generation cognitive mathematics tutors are already in use in about 2% of middle schools and high schools around the country. The demand for effective mathematics and science education continues to grow. States are increasing mathematics graduation requirements and instituting assessments that govern student graduation and school evaluations. If Active Learning Environments are more effective than current generation Cognitive Tutors, they promise to rapidly enter widespread classroom use.