SBIR Phase II: Science, Technology, Engineering, and Math (STEM) Career Literacy & Advocacy

SBIR 第二阶段：科学、技术、工程和数学 (STEM) 职业素养

• 批准号: 1660021
• 负责人: Melissa Risteff
• 金额: $ 75万
• 依托单位: Couragion Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1660021&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Science; Technology

This project will improve the awareness and perception of careers that require science, technology, engineering, and math (STEM) competencies. Advocacy is a critical component of career readiness, yet current advocates (parents, guardians, educators, or members of the community) are often not in the position to inform students of potential career options. Career and workforce readiness programs are resource constrained, don't meet the needs of differing learning styles, have inherent bias, and are largely focused on compliance over student competency building. Many underrepresented youths who would otherwise succeed in STEM are often deterred by a lack of role models. If youth understood the opportunities, they could pursue academic pathways to amass skills that better prepare them to enter the workforce. Furthermore, educators need professional learning experiences and access to insights about their students in order to improve STEM teaching and learning. Helping individuals select rewarding and suitable degrees, training, and careers will increase the likelihood of higher job retention. As more individuals are inspired to pursue and stay in STEM, taxpayers will benefit from increased innovation which in turn will provide tax dollars to invest in such things as healthcare, national security, education, or humanitarian assistance.The project will address technical challenges of amassing and distributing massive amounts of 3rd party STEM (Science, Technology, Engineering, and Math) resource data (both structured and unstructured), developing an information management system for educators and families, developing adaptive learning skill modules, advancing a second generation smart recommendation engine based on big data, machine learning and predictive modeling techniques, and performing database mining and creating data visualizations to derive meaningful workforce development insights. In addition, the project will involve controlled experiments and usability tests whereby a large amount of anonymized and aggregated student data and business/education entity feedback will be collected. The ultimate goals of the R&D and experiments are to validate that the resulting application, predictive models, information management practices, advocacy networks, and data visualizations have the desired outcome of boosting immediate and near-term student outcomes regarding STEM career intentions and actions.

该项目将提高对需要科学，技术，工程和数学（STEM）能力的职业的认识和看法。宣传是职业准备的一个重要组成部分，但目前的倡导者（父母，监护人，教育工作者或社区成员）往往无法告知学生潜在的职业选择。职业和劳动力准备计划资源有限，不能满足不同学习风格的需求，具有固有的偏见，并且在很大程度上侧重于学生能力建设的合规性。许多代表性不足的年轻人本可以在STEM领域取得成功，但他们往往因缺乏榜样而望而却步。如果青年人了解这些机会，他们就可以追求学术途径，积累技能，为进入劳动力市场做好更好的准备。此外，教育工作者需要专业的学习经验和对学生的见解，以改善STEM教学和学习。帮助个人选择有价值和合适的学位，培训和职业将增加更高的工作保留的可能性。随着越来越多的人受到激励，追求并留在STEM领域，纳税人将受益于不断增加的创新，这反过来将提供税收资金，用于投资医疗保健、国家安全、教育或人道主义援助等领域。该项目将解决积累和分发大量第三方STEM的技术挑战。（科学、技术、工程和数学）资源数据（结构化和非结构化），为教育工作者和家庭开发信息管理系统，开发适应性学习技能模块，推进基于大数据、机器学习和预测建模技术的第二代智能推荐引擎，并执行数据库挖掘和创建数据可视化，以获得有意义的劳动力发展见解。此外，该项目将涉及受控实验和可用性测试，从而收集大量匿名和汇总的学生数据以及商业/教育实体反馈。研发和实验的最终目标是验证由此产生的应用程序，预测模型，信息管理实践，宣传网络和数据可视化具有促进STEM职业意向和行动的即时和近期学生成果的预期结果。