SBIR Phase I: A Personalized Search Engine for Educational Resources

SBIR 第一阶段：个性化教育资源搜索引擎

• 批准号: 1345533
• 负责人: Manuel Reyes
• 金额: $ 14.07万
• 依托单位: Predictive Technologies Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345533&HistoricalAwards=false
• 关键词: SBIR; Phase; Personalized; Search; Engine

This SBIR Phase I project proposes to support the development of a web-based, mobile-friendly search engine that optimally matches educational content and lesson plans available on the Internet with a student's needs and unique learning goals. The project will provide the optimal resources given the profiles, academic history and other variables collected from the intended users of those resources. The project seeks to answer the following questions: 1) How to successfully characterize and define attributes of educational content and lesson plans found on the internet; 2) How to successfully characterize and define attributes of students; and 3) How to optimally match educational content and lesson plans to the students and teachers that seek to use it. A model for characterizing lesson plans, educational content and student profiles will be conducted with the support of teachers and partners. Research results will support the development of a search engine that provides links to individual educational resources and lessons plans, optimized to the individual needs of the users.The broader/commercial impact of the project will potentially have a large impact on society. It will save teachers from wasting valuable time on finding resources and will enable them to find more effective teaching and learning tools and materials to use in their classrooms that fit the individual needs of their pupils. Students will be able to directly access materials and technologies that have been created to address their specific needs, enabling and empowering them to improve their educational performance. Underserved populations will particularly benefit, as they will be able to find content that fits their need at no cost. Schools will be able to use their limited financial resources more efficiently by focusing professional development hours on more practical tasks and will be able to acquire better technologies and educational content that is free of charge on the Internet. In summary, the project will help uncover the potential of the Internet as an efficient support system for schools, teachers and parents. Finally, the project has potential for significant commercial value. Revenue will originate from optimally matching the large number of firms selling educational content and technology with the schools and teachers that need them.

该 SBIR 第一阶段项目旨在支持开发基于网络、适合移动设备的搜索引擎，该引擎可将互联网上提供的教育内容和课程计划与学生的需求和独特的学习目标最佳匹配。该项目将根据从这些资源的预期用户收集的概况、学术历史和其他变量来提供最佳资源。该项目旨在回答以下问题：1）如何成功地描述和定义互联网上的教育内容和课程计划的属性； 2）如何成功地刻画和定义学生的属性； 3) 如何将教育内容和教学计划与寻求使用它的学生和教师进行最佳匹配。将在教师和合作伙伴的支持下建立一个描述课程计划、教育内容和学生概况的模型。研究结果将支持搜索引擎的开发，该搜索引擎提供个人教育资源和课程计划的链接，并根据用户的个人需求进行优化。该项目更广泛/商业的影响将可能对社会产生巨大影响。这将使教师不必浪费宝贵的时间来寻找资源，并使他们能够找到更有效的教学工具和材料，以在课堂上使用，以满足学生的个人需求。学生将能够直接访问为满足其特定需求而创建的材料和技术，从而使他们能够提高教育成绩。服务不足的人群将特别受益，因为他们将能够免费找到适合自己需求的内容。通过将专业发展时间集中在更实际的任务上，学校将能够更有效地利用其有限的财政资源，并且将能够在互联网上免费获得更好的技术和教育内容。总之，该项目将有助于发掘互联网作为学校、教师和家长的有效支持系统的潜力。最后，该项目具有巨大的商业价值潜力。收入将来自于将大量销售教育内容和技术的公司与需要它们的学校和教师进行最佳匹配。