SBIR Phase I: Personal-Knowledge-Management eLearning System

SBIR 第一阶段：个人知识管理电子学习系统

• 批准号: 0233033
• 负责人: Robert London
• 金额: $ 9.88万
• 依托单位: TAXONOMIZE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0233033&HistoricalAwards=false
• 关键词: SBIR; Phase; Personal; Knowledge; Management

This Small Business Innovation Research (SBIR) Phase I project will aid, support, and encourage eLearning students and instructors to find the best matches for their purposes in each other's skills, and to find the best knowledge and program resources to suit their immediate, particular needs. The software automatically extracts taxonomies from textual materials, which then allows those materials to be cross-referenced automatically. Taxonomize thus will provide extensible and low-cost eLearning support software, which is based on knowledge management (KM) capabilities, rather than attaching KM as an added feature. For example, an advanced auto-categorization engine will provide content management to help students find the best resources of tutors and workgroups to match their immediate needs.Current customers are colleges seeking economical ways to meet increasing demands for a popular international tutoring program. The research program, "PerK," will enable this expansion at costs far below current market. Ultimately the goal is to disseminate PerK capabilities into the full eLearning market, with target functionality and at lower cost than other current eLearning providers.

这个小企业创新研究（SBIR）第一阶段项目将帮助、支持和鼓励在线学习的学生和教师在彼此的技能中找到最适合他们的目标，并找到适合他们当前特殊需求的最佳知识和项目资源。该软件自动从文本材料中提取分类，然后允许这些材料自动交叉引用。因此，Taxonomize将提供可扩展的低成本电子学习支持软件，该软件基于知识管理（KM）功能，而不是附加KM作为附加功能。例如，一个先进的自动分类引擎将提供内容管理，帮助学生找到导师和工作组的最佳资源，以满足他们的直接需求。目前的客户是寻求经济方式来满足日益增长的对受欢迎的国际辅导项目需求的大学。这项名为“PerK”的研究项目将以远低于当前市场的成本实现这一扩张。最终的目标是将PerK的功能推广到整个电子学习市场，使其具有目标功能，并且成本低于其他电子学习提供商。