SBIR Phase II: Adaptive Experiential Learning Platform to Close Learning Gaps in Secondary Algebra

小型企业创新研究(SBIR)第二阶段项目的广泛影响/商业潜力旨在缩小科学、技术、工程和数学(STEM)熟练程度方面的差距，提高参与度和持续成就，特别是对于历史上服务不足的学生群体。学习科学已经证实，数学科学是经验性的--通过看、动、做、感知--但目前的教育解决方案通常不探索这种学习方式。该平台将利用沉浸式虚拟现实(IVR)和高级分析来为学生和教师扩展这些最佳实践教学。该项目的目的是实现技术辅助STEM学习的愿景，并将其在美国K-12系统中实施，以大规模消除长期存在的获取和熟练程度的障碍。在新冠肺炎大流行之后，这个平台提供了一种快速缩小学生面临的显著学习差距的方法。这个小企业创新研究第二阶段项目旨在展示如何利用交互式语音识别中的多模式和游戏驱动的学习来提高数学熟练程度和跨环境转移数学知识的能力。到目前为止，这种能力还没有得到现有的学习技术和数学干预。特别是，这项研究可能最终会为学生有效、有效和有目的地学习代数提供一个体验式的解决方案。沉浸在相关的真实世界环境中，学生将使用触觉3D工具、运动和基于研究的教学框架来建立持久的数学概念流畅性，同时解决高影响力的问题。该平台将利用数据分析的最新进展，根据个人行为、技能和目标个性化学习体验。这一解决方案为教师提供了学生思维的实时数据，以便他们可以密切监控、识别和支持优先学生，同时在关键认知时刻提供及时的反馈。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project seeks to close gaps in Science, Technology, Engineering, and Mathematics (STEM) proficiency, improving participation and sustained achievement, particularly for historically underserved student populations. Learning science has validated that the mathematical sciences are processed experientially — through seeing, moving, doing, perceiving — but current educational solutions generally do not explore this learning modality. This platform will utilize Immersive Virtual Reality (IVR) and advanced analytics to scale these best practice pedagogies for both students and teachers. The aim of this project is to actualize the vision of technology-assisted STEM learning and operationalize it across the US K-12 system to close long-standing barriers to access and proficiency at scale. In the wake of the COVID-19 pandemic, this platform offers a way to rapidly close significant learning gaps students are facing.This Small Business Innovation Research (SBIR) Phase II project seeks to demonstrate how multimodal and game-driven learning in IVR can be used to enhance math proficiencies and the ability to transfer mathematical knowledge across contexts. Such abilities have so far eluded incumbent learning technologies and interventions for math. In particular, this research may culminate in an experiential solution for students to learn Algebra efficiently, effectively, and purposefully. Immersed in relevant real-world contexts, students will use tactile 3D tools, movement, and a research-based pedagogical framework to build lasting fluency with math concepts while solving high impact problems. The platform will leverage the latest advances in data analysis to personalize learning experiences based on individual behaviors, skills and goals. This solution provides teachers with real-time data on student thinking so they can closely monitor, identify, and support priority students while providing timely feedback during critical cognitive moments.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.