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/商业潜力是在虚拟和录制培训项目中为学习者开发一种可扩展的、按需的、基于研究的创新。研究表明，进入本科院校的人数不足的学生，在面对课堂上的不确定性时，不太可能具备先进的学习技能或自信的意识来寻求帮助。该项目为课堂提问提供按需回复，并帮助培养深度学习技能。此外，对于没有足够的家庭或学术支持的学生来说，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，根据课堂上口头或视觉呈现的提取的单词和短语，自动识别课程的学科，然后通过学科特定关键字的分类阵列，识别对课程学习目标重要的术语。根据学习者的个人查询或课堂讨论，自动创建个性化学习指南。这种创新适用于远程学习行业，它可以增加客户在线内容的价值，并使教学专业人员能够在学生群体中争取更高水平的公平。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.