I-Corps: An interactive gaming platform that uses motion assessment and virtual reality to incorporate STEM and social-emotional learning

这个i-Corps项目的更广泛的影响/商业潜力是开发一个教育游戏平台，以改善儿童的学习成果。建议的平台向学生介绍更深入的学习，包括分析推理、解决复杂问题和团队合作。该课程旨在介绍社交情感学习中的关键概念，以支持学习者在理解所介绍的材料时遇到的任何动机障碍。关注社交-情绪学习可能有助于学习者的创造性过程，也可能更容易让那些表现出可能影响学习的行为挑战的人参与进来。此外，提议的技术有可能帮助确定哪里需要额外的资源、支持或服务。这个平台可能会在缩小服务不足人群的服务差距方面发挥关键作用。这个i-Corps项目基于开发一个使用虚拟现实的互动教育平台，向年轻学习者介绍STEM和社交情感学习。拟议的在线平台使用了一个框架，专注于基于用户输入模拟行为神经元网络。人工智能(AI)算法被用来复制边缘系统和前额叶皮质的功能，以优化习惯行为。这项拟议的技术专门针对通过现实生活中的互动场景来增加问题解决和创造性思维。为了能够以本能的方式操纵3D对象，建议的平台将运动传感器的使用与软件框架相结合。通过将运动和现实生活中的互动场景与增长黑客开发概念相结合，该技术可能会通过向STEM灌输长期的动力和动力来提高弹性。另一个目标是增加数据集中不同群体和少数群体的代表性，希望有助于减轻算法偏差。这一奖项反映了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 I-Corps project is the development of an educational gaming platform to improve learning outcomes in children. The proposed platform introduces students to deeper learning that encompasses analytic reasoning, complex problem solving, and teamwork. The curriculum is designed to introduce key concepts in social-emotional learning to bolster any motivational hurdles learners encounter in understanding presented materials. Focusing on social-emotional learning may assist learners in the creative process and may more easily engage those who exhibit behavioral challenges that may have impacted learning previously. In addition, the proposed technology has the potential to assist in determining where additional resources, support, or services are needed. This platform may play a critical role in bridging the gap of services for underserved populations.This I-Corps project is based on the development of an interactive educational platform using virtual reality to introduce STEM and social emotional learning to young learners. The proposed online platform uses a framework focusing on imitating behavioral neuronal networks based on user input. Artificial Intelligence (AI) algorithms are used to replicate the functionality of the limbic system and the prefrontal cortex to optimize habitual behaviors. The proposed technology specifically targets increasing problem solving and creative thinking through real-life interactive scenarios. To allow for the manipulation of 3D objects in an instinctual way, the proposed platform combines the use of motion sensors with the software framework. By combining motion and real-life interactive scenarios with growth hacking development concepts, the technology may increase resiliency by instilling long-term drive and motivation in STEM. An additional goal is increasing the representation of diverse and minority populations in data sets with the hopes of assisting in the effort to mitigate algorithmic bias.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.