SBIR Phase I: ASPOA: Applying Semantic Paradata to Outcomes-aligned Assessment

这个小型企业创新研究（SBIR）第一阶段项目旨在提高在线教育和培训的质量，使其更容易添加相关的测验问题和知识检查的内容，因为它正在创建。该项目应用了计算机在检测文本中的主题和主题以及处理自然语言方面的最新进展，并建立在联邦学习注册表等项目的基础上，这些项目将上下文数据与教育对象相关联，以便更好地发现和使用它们。第一阶段项目将创建一个概念验证系统，该系统将应用这些方法将现有问题与教育和培训成果相结合，并生成与正在编写的文本相关的新问题。研究目标包括验证该系统（a）有效地将内容和评估与成果相结合，（B）支持课程设计，（c）产生高质量的问题。该项目还将研究与企业学习平台整合的技术要求，该项目更广泛的影响/商业潜力来自于大大降低向在线内容添加评估的障碍，以及确保这些评估与教育和培训成果保持一致。这将有助于教育和商业客户评估和展示在线程序的有效性。它还将减少开发和提供专注于特定能力和学习目标的优质在线培训所需的时间和成本。更一般地说，所提出的技术有可能通过增加评估将任何内容转化为积极和引人入胜的学习体验。拟议的技术将被设计为集成到现有的学习和学习内容创作系统作为一个软件服务。最初的合作者包括最大的学习管理系统公司之一的评估子公司和国家STEM数字图书馆资源中心。

This Small Business Innovation Research (SBIR) Phase I project aims to improve the quality of online education and training by making it easier to add relevant quiz questions and knowledge checks to content as it is being created. The project applies recent advances in the ability of computers to detect topics and themes in text and to process natural language and builds on ideas from projects such as the Federal Learning Registry that associate contextual data to educational objects so that they can be better discovered and used. This Phase I project will create a proof-of-concept system that applies these methods to align existing questions to educational and training outcomes and to generate new questions relevant to the text being authored. Research objectives include validating that the system (a) effectively aligns content and assessments with outcomes, (b) supports curriculum design and (c) generates quality questions. The project will also research technical requirements for integration with enterprise learning platforms.The broader impact/commercial potential of this project comes from significantly lowering the barrier to adding assessments to online content and from ensuring that these assessments are aligned with educational and training outcomes. This will help educational and commercial customers evaluate and demonstrate the effectiveness of online programs. It will also reduce the time and cost required to develop and deliver quality online training that focuses on specific competencies and learning objectives. More generally, the proposed technology has the potential to transform any content into an active and engaging learning experience by adding assessments. The proposed technology will be designed for integration into existing learning and learning content authoring systems as a software service. Initial collaborators include the assessment subsidiary of one of the largest learning management system companies and the National STEM Digital Library Resource Center.