SBIR Phase I: Developing a Cost-Effective Method for Creating Cognitive Models for Cognitive Tutors

SBIR 第一阶段：开发一种经济有效的方法来为认知导师创建认知模型

• 批准号: 0441679
• 负责人: Stephen Gilbert
• 金额: $ 9.96万
• 依托单位: Clearsighted
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0441679&HistoricalAwards=false
• 关键词: SBIR; Phase; Developing; Cost; Effective

This Small Business Innovation Research (SBIR) Phase I project addresses the difficulties of authoring intelligent tutoring systems. Intelligent Tutoring Systems have proven to be highly effective in delivering computer-based instruction, but have historically been expensive and difficult to build, requiring specialized skill in Artificial Intelligence and production systems programming. This proposal describes a Software Development Kit (SDK) composed of four components: Cognitive Model Authoring, Problem Authoring, Tool Authoring, and Curriculum Authoring. The proposed research activity centers on the first of these components: Cognitive Model Authoring. Cognitive Model Authoring is comprised of three separate steps: defining an object hierarchy, defining the goal structure of the problem task, and representing the behavior of the instructional system. The proposal is to define an object-oriented visualization of these steps, so that non-cognitive scientists can create cognitive tutors. This tool will decrease the amount of time it takes to author the cognitive model portion of a tutor for an experienced cognitive modeler, and it also will decrease the amount of time it takes for a new person with no cognitive modeling experience to come up to speed with creating cognitive modelsThe Cognitive Tutor SDK will have two impacts: 1) easier production of new Cognitive Tutors, and hence the ability to bring them to market more quickly and 2) development of a Software Development Kit that could be independently marketed, enabling other companies to produce intelligent tutors in other domains, languages, countries and markets. There are four markets for the Cognitive Tutor SDK: internal developers, external users interested in adapting existing tutor materials for related markets (prisons, welfare-to-work programs), internal and external developers of tutors in related mathematical disciplines, and external developers of tutors in other domains. The emphasis on accountability in education provides a strong market need for effective instruction, which should help drive the desire for proven technology like Intelligent Tutoring Systems.

这个小企业创新研究（SBIR）第一阶段项目解决了创作智能辅导系统的困难。 智能辅导系统已被证明在提供基于计算机的教学方面非常有效，但历史上一直昂贵且难以构建，需要人工智能和生产系统编程的专业技能。 该提案描述了一个软件开发工具包（SDK），由四个组件组成：认知模型创作，问题创作， 工具创作和课程创作。 拟议的研究活动集中在这些组件中的第一个：认知模型创作。 认知模型创作由三个独立的步骤组成：定义对象层次结构，定义问题任务的目标结构，以及表示教学系统的行为。 该建议是定义一个面向对象的可视化这些步骤，使非认知科学家可以创建认知导师。 此工具将减少为有经验的认知建模者编写教程的认知模型部分所需的时间，并且还将减少没有认知建模经验的新人加快创建认知模型所需的时间。Cognitive Tutor SDK将产生两个影响：1）更容易生产新的认知导师，因此能够更快地将其推向市场，2）开发可以独立销售的软件开发工具包，使其他公司能够在其他领域生产智能导师，语言、国家和市场。 Cognitive Tutor SDK有四个市场：内部开发人员，对相关市场（监狱，福利工作计划）改编现有辅导材料感兴趣的外部用户，相关数学学科的辅导教师的内部和外部开发人员，以及其他领域的辅导教师的外部开发人员。 对教育问责制的强调为有效的教学提供了强大的市场需求，这应该有助于推动对智能辅导系统等成熟技术的需求。