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

这个I-Corps项目更广泛的影响/商业潜力是开发一个教育游戏平台，以提高儿童的学习成果。拟议的平台向学生介绍了更深入的学习，包括分析推理，解决复杂问题和团队合作。 该课程旨在介绍社会情感学习的关键概念，以支持学习者在理解所呈现的材料时遇到的任何动机障碍。 专注于社会情感学习可以帮助学习者在创造性的过程中，并可能更容易吸引那些表现出行为挑战，可能会影响以前的学习。 此外，所提出的技术有可能帮助确定需要额外资源、支持或服务的地方。 这个平台可能在弥合服务不足人群的服务差距差距方面发挥关键作用。这个I-Corps项目是基于使用虚拟现实开发一个互动教育平台，向年轻学习者介绍STEM和社交情感学习。所提出的在线平台使用一个框架，专注于模仿基于用户输入的行为神经网络。人工智能（AI）算法用于复制边缘系统和前额叶皮层的功能，以优化习惯行为。所提出的技术专门针对通过现实生活中的互动场景来增加解决问题和创造性思维。为了允许以本能的方式操纵3D对象，所提出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交互场景与增长黑客开发概念相结合，该技术可以通过为STEM注入长期动力和积极性来提高弹性。 另一个目标是增加数据集中多样化和少数群体的代表性，希望有助于减轻算法偏见。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值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.