SBIR Phase I: Validating and Scaling a Financial and Entrepreneurial Aptitude Assessment

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是开发一个智能和不断发展的工具，提供一个框架，向儿童传授金融知识技能。扫盲课是根据儿童的发展速度和阶段进行的。该产品旨在提供一个家庭理财和创业平台，结合真实的金钱、同伴绩效反馈和人工智能（AI）驱动的教育，教导年轻人如何负责任地使用金钱和建立企业。通过利用人工智能，该项目将把教育内容策划成一种沉浸式的数字学习体验，无论财富、人口统计或地理位置如何，都能为个人量身定制。通过这一创新，青年在向经济独立过渡时可能更有能力取得成功。这个项目也可以让学术界和工业界共同努力，以验证个人的财务准备和独立性。这个小企业创新研究（SBIR）第一阶段项目的重点是设计的原则和机制的用户性能反馈机制，促进财务健康。财务知识在人生的每个阶段都很重要。该项目的第一阶段是开发一个性能机制，并使用深度人工智能技术来确定数据收集和逻辑数据组织的目标，以及确定性能测量和个人学习者分组。这些指标包括静态数据、动态数据、数据的逻辑组织、计算方法和评分原则。一旦优化，该项目的结果可能会鼓励个人实现财务稳定和成功。该奖项反映了NSF的法定使命，并已被认为是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的支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of an intelligent and evolving tool that provides a framework to teach financial literacy skills to children. The literacy lessons are implemented at the child’s pace and stage of development. The product seeks to provide a family finance and entrepreneurism platform that combines real money, peer performance feedback, and artificial intelligence (AI)-driven education to teach youth how to responsibly use money and build businesses. By utilizing AI, the project will curate educational content into an immersive digital learning experience that is tailored to the individual regardless of wealth, demographics, or geographic location. Through this innovation, youth may be better positioned for success as they transition to financial independence. This project may also allow academia and industry to work together to validate an individual's financial preparedness and independence.This Small Business Innovation Research (SBIR) Phase I project focusses on designing the principles and mechanics of a user performance feedback mechanism that promotes financial wellness. Financial literacy is important at every stage of life. The Phase I of this project is to develop a performance mechanism and uses deep AI techniques to baseline the goals for data collection and logical data organization, as well as to determine performance measurements and individual learner groupings. These metrics include static data, dynamic data, logical organization of data, calculation methods, and scoring principles. Once optimized, the outcome of the project may encourage individuals to achieve financial stability and success.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.