STTR Phase I: An Intelligent Infinitely Explorable Online Learning Environment

这个小企业创新研究（SBIR）第一阶段项目将开发一个智能无限探索的在线学习环境。在线学习的使用在高等教育中显着增长，并有望降低课程成本，提高教育成果。目前的大规模开放式在线课程（MOOCS）可以以最低的成本向数十万或数百万学生提供在线课程。这些系统向学生提供视频讲座、文本和录音等内容，并以简单和有针对性的问题形式进行学生评估。虽然在某些领域，这些当前的在线系统是足够的，但在线系统在工程中失败了，学生必须接受培训，以创造性地思考复杂的系统。工程教育是一个对国家经济至关重要的领域。创建更灵活的系统，更适合工程等需要综合学习的复杂学科，将使学生和国家受益。这个SBIR第一阶段项目将专注于开发一个原型系统，能够识别特定的学生计算错误和概念错误，同时解决复杂的问题。该系统将快速自动地识别这些错误，然后为学生提供他们需要的资源来纠正他们的错误，并提高他们对主题的基本理解。该系统还将为基于技能的认证提供一个平台，全国各地的许多工程项目都在探索这一点。

This Small Business Innovation Research (SBIR) Phase I project will develop an intelligent infinitely explorable online learning environment. The use of online learning has grown significantly in higher education and promises to reduce program cost and improve educational outcomes. Current massively open online courses (MOOCS) can deliver an online course to hundreds of thousands or millions of students at minimal cost. These systems deliver content such as video lectures, text, and audio recordings to students with student assessment in the form of simple and directed questions. While in some fields, these current online systems are adequate, online systems fail in Engineering where students must be trained to think creatively about complex systems. Engineering education is an area of vital national economic importance. Creating more flexible systems, which are better suited for complex subjects requiring integrated learning such as engineering, will benefit both students and the nation. This SBIR Phase I project will focus on developing a prototype system capable of identifying specific student computational mistakes and conceptual errors while solving complex problems. The system will quickly and automatically identify these mistakes, then provide students with the resources they need to correct their mistake and to improve their fundamental understanding of the topic. The system will also provide a platform for skill-based credentialing, which is being explored in many engineering programs across the country.