SBIR Phase I: Scalable, on-demand, research-based, help-seeking innovation for learners in virtual and recorded training programs

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是为虚拟和记录培训计划中的学习者开发可扩展的，按需的，基于研究的创新。研究表明，代表性不足的人群到达本科院校时，不太可能拥有先进的学习技能或自信的意识，在课堂上面临不确定性时寻求帮助。这个项目提供了按需响应课内查询，并有助于发展深入的学习技能。此外，对于那些在没有足够的家庭或学术支持的情况下进入大学的学生来说，拟议的产品成为成功参与本科环境的资源。这个小企业创新研究（SBIR）第一阶段项目将建立一个引擎，根据提取的单词和短语自动识别课程的学科，然后将识别对课程学习目标重要的术语，通过学科特定关键字的分类数组获得。个性化学习指南的自动创建是基于学习者的个人查询或课堂讨论启动的。这项创新适用于远程教育行业，它可以增加客户在线内容的价值，并使教学专业人员能够为学生群体争取更高水平的公平。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to develop a scalable, on-demand, research-based innovation for learners in virtual and recorded training programs. Research has shown that underrepresented populations arrive at an undergraduate institution less likely to have the advanced study skills or confident awareness to seek assistance when faced with uncertainty in the classroom. This project provides on-demand responses to in-lesson queries and helps develop deep study skills. Additionally, for the students who arrive at college without sufficient familial or academic support, the proposed product becomes a resource to participate successfully in an undergraduate environment. This Small Business Innovation Research (SBIR) Phase I project will build an engine that automatically identifies the discipline of a course based on the extracted words and phrases spoken or visually presented in class, and then will identify terms important to the learning objectives of the course, garnered via categorical arrays of discipline specific keywords. Automatic creation of personalized study guides is initiated based on the learners' individual queries or class discussions. This innovation is applicable to the remote learning industries, where it may increase the value of their customers’ online content and enable teaching professionals to strive for higher levels of equity in the student population.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.