SBIR Phase I: Stackmaps: A Metacognitive Learning Support Tool To Empower Students In STEM

SBIR 第一阶段：Stackmaps：一种元认知学习支持工具，为 STEM 学生赋能

• 批准号: 1843795
• 负责人: Robyn Allen
• 金额: $ 22.5万
• 依托单位: Central Inventions, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-01 至 2021-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1843795&HistoricalAwards=false
• 关键词: SBIR; Phase; Stackmaps; Metacognitive; Learning

This SBIR Phase I project will study and develop methods to provide adult professionals and young adult students with the skills and self-confidence to pursue studies and careers in Science, Technology, Engineering, and Math (STEM) fields. Today, a large segment of society identifies as being underrepresented in the technology sector. Some individuals experience low technology-related self-confidence as a result. At a time when the United States has an increasing demand for technology workers, the country needs contributions from all segments of society, and not simply those segments which have been privileged in the past, to meet this demand and maintain U.S. competitive advantage in the global innovation economy. Engaging people from the full spectrum of the United States population will enable innovative companies to leverage more diverse sources of creativity, build better solutions to today's problems, and create more jobs. When people see themselves as future practitioners of a technical skill, it is possible to learn topics in a deeper, more fulfilling, and more enduring manner. Commercializing this invention will increase online learning platform retention rates, driving revenue not only within educational companies but within the companies who hire the resulting talent.The proposed technology is innovative because no commercially-available software tools exist which support metacognitive development in tandem with technical skill acquisition. This innovation is risky because no one has proven that having a positive influence on metacognition through automated software is even possible during single learning session. The goal of this research is to deliver techniques for enhancing the self-efficacy of STEM learners within the context of online learning platforms. The project combines best practices in digital personalization and educational psychology research to deliver customized content responsive to learner preferences and learner attitude attributes. The proposed research will demonstrate, via a random trial, increased levels of motivation and engagement in students who receive targeted interventions as compared with a control population. Using survey instruments, the researchers will measure changes in self-efficacy, challenge-seeking, and goal-setting behavior. Because the research team has unique experience in developing proven educational interventions which enhance self-efficacy across a variety of learning domains, the algorithms and methods inside the proposed technology will be difficult for competitors to replicate. This SBIR project will deliver algorithms and automated, web-based interventions to help all STEM learners experience personal engagement with STEM topics and find empowerment in the task of learning.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.

这个SBIR I阶段项目将研究和开发方法，为成年专业人士和年轻学生提供技能和自信，以从事科学，技术，工程和数学（STEM）领域的研究和职业。如今，大部分社会认为在技术领域的代表性不足。因此，有些人因此经历了与技术相关的低自信。在美国对技术工作者的需求不断增长的时候，该国需要社会各个细分市场的贡献，而不仅仅是过去曾经有过特权的细分市场，以满足这一需求并维持美国在全球创新经济中的竞争优势。吸引来自美国人口的全部人口的人们将使创新的公司能够利用更多的创造力来源，为当今问题建立更好的解决方案，并创造更多的就业机会。当人们将自己视为技术技能的未来从业者时，就有可能以更深入，更充实，更持久的方式学习主题。商业化本发明将提高在线学习平台的保留率，不仅在教育公司内，而且在雇用由此产生的人才的公司中促进收入。拟议的技术具有创新性，因为没有商业上可用的软件工具，这些软件工具存在支持与技术技能相关的元认知发展。这项创新是有风险的，因为没有人证明，在单个学习会议期间，甚至可以通过自动化软件对元认知产生积极影响。这项研究的目的是提供在在线学习平台上增强STEM学习者的自我效能的技术。该项目结合了数字个性化和教育心理学研究方面的最佳实践，以向学习者的偏好和学习者态度属性提供自定义的内容。拟议的研究将通过随机试验证明，与对照人群相比，接受有针对性干预的学生的动机和参与度提高了。使用调查工具，研究人员将衡量自我效能感，寻求挑战和目标行为的变化。由于研究团队在开发经过验证的教育干预措施方面具有独特的经验，从而增强了各种学习领域的自我效能，因此竞争对手很难复制所提出的技术内部的算法和方法。该SBIR项目将提供算法和基于Web的自动化干预措施，以帮助所有STEM学习者在学习任务中体验个人参与，并在学习任务中找到授权。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来支持的。