SBIR Phase I: Couragion STEM Career Literacy
SBIR 第一阶段:Couragion STEM 职业素养
基本信息
- 批准号:1548757
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This SBIR Phase I project will improve the awareness and perception of careers that require science, technology, engineering, and math (STEM) competencies. Career influencers such as parents, educators, and counselors are often not in the position to inform students of potential options and expose unnecessary bias. If kids understood the opportunities, they could pursue academic pathways to amass skills that better prepare them to enter the workforce. STEM competencies are in high-demand and many high-skill jobs sit vacant for long periods of time. This results in lost productivity and exorbitant recruiting fees to pluck qualified candidates from existing jobs. Our nation could be more successful with access to highly skilled resources, especially in the face of the retiring baby boomer population. Career exploration and readiness focused on helping individuals select rewarding and suitable degrees, training, and careers will increase the likelihood that individuals stay in those careers, exhibit greater creativity, and decrease the number of people who invest in education they never use. As more individuals are inspired to pursue 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 combine big data, perceived capacity building, continuous STEM programming, and self-reflection to create a commercialized STEM career and self-discovery application and companion data visualization tool. Together, the career application and visualization tool will boost the intent of students to pursue STEM competencies and careers and improve the retention, productivity, and innovation of STEM workers. The project will address the technical hurdles of amassing and managing massive amounts of structured and unstructured data, designing a notification and tracking mechanism to deliver students ongoing programming, developing a smart recommendation engine to drive the best fit STEM careers for students, performing database mining and predictive modeling and creating data visualizations to derive meaningful workforce development insights. The research team will design survey tools and conduct controlled experiments and usability tests to collect student data and business/education entity feedback. The team will analyze experimental, historical, and survey data to validate and refine the data models, scoring algorithms, and application content and functionality. The ultimate goals of the R&D and experiments are to validate that the resulting application, predictive models, scoring algorithms, and data visualizations have the desired result of boosting student outcomes regarding STEM intentions and pursuits.
这个SBIR第一阶段项目将提高人们对需要科学、技术、工程和数学(STEM)能力的职业的认识和看法。职业影响者,如家长、教育工作者和辅导员,往往无法告知学生潜在的选择,并暴露不必要的偏见。如果孩子们理解了这些机会,他们就可以通过学术途径积累技能,为进入职场做好更好的准备。STEM能力需求旺盛,许多高技能工作长期处于空缺状态。这导致了生产率的损失和高昂的招聘费用,以便从现有的工作中挑选合格的候选人。我们的国家可以更成功地获得高技能资源,特别是在婴儿潮一代人口退休的情况下。职业探索和准备专注于帮助个人选择有回报和合适的学位、培训和职业,这将增加个人继续从事这些职业的可能性,展示更大的创造力,并减少投资于他们从未使用过的教育的人数。随着更多的人被激励去追求STEM,纳税人将从更多的创新中受益,这些创新反过来将提供税收,用于投资于医疗保健、国家安全、教育或人道主义援助等方面。该项目将结合大数据、可感知的能力建设、持续的STEM编程和自我反思,创建商业化的STEM职业和自我发现应用程序以及配套的数据可视化工具。总之,职业应用和可视化工具将增强学生追求STEM能力和职业的意愿,并提高STEM员工的留任率、生产率和创新能力。该项目将解决以下技术障碍:收集和管理大量结构化和非结构化数据、设计通知和跟踪机制以向学生提供持续编程、开发智能推荐引擎以推动学生最适合的STEM职业、执行数据库挖掘和预测性建模以及创建数据可视化以获得有意义的劳动力发展见解。研究团队将设计调查工具,并进行受控实验和可用性测试,以收集学生数据和企业/教育实体的反馈。该团队将分析实验、历史和调查数据,以验证和改进数据模型、评分算法以及应用程序内容和功能。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、评分算法和数据可视化具有提高学生在STEM意图和追求方面的结果的预期结果。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Melissa Risteff其他文献
Melissa Risteff的其他文献
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{{ truncateString('Melissa Risteff', 18)}}的其他基金
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 - 财政年份:2017
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
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