I-Corps: A Digital Platform for Social-Emotional Learning

这个i-Corps项目的更广泛的影响/商业潜力是由一个软件框架推动的，该框架将更多的注意力放在改善儿童的心理健康和健康上。例如，药物滥用和精神健康服务管理局最近呼吁通过可持续和协调的社区支持，作出预防努力，包括采取跨学科方法，特别是解决心理和身体健康问题。该项目提供了一种独特的模式，将心理健康、身体健康和数字素养整合到一个平台中，为转型提供凝聚力信息，通过促进社会和情感学习、积极性格发展和整体健康，将儿童和社区从风险转移到弹性。这个平台通过娱乐中的教育、健康和社会责任机制来实现其目标，并以数据为支持。该i-Corps项目应用了一种新颖的软件框架来收集来自用户参与的数据(例如，基于查询、访问的内容、创建的内容、执行的服务等)。这突出了影响儿童在社会和教育环境中表现的风险因素。此数据是对P-20数据库的补充(P-20是一个州级的纵向教育数据系统，旨在捕获和分析从学前班到高中、大学和劳动力的学生数据)。P-20数据库的重点是生物识别，并提供了更全面的儿童、家庭和社区正在发生的事情的查看，因为重点是心理健康数据。这种全面的方法提供了一个多风险因素来确定目标社区和特定需求，如欺凌、暴力或滥用药物。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 motivated by a software framework that focuses increased attention on improving children's mental health and wellness. For example, the Substance Abuse and Mental Health Services Administration recently called for prevention efforts, including interdisciplinary approaches, particularly addressing mental and physical health, through sustainable and coordinated community support. This project offers a unique model that incorporates mental health, physical health, and digital literacy into a platform that provides a cohesive message for transformation, moving children and communities from risk to resiliency by promoting social and emotional learning, positive character development, and overall wellness. This platform accomplishes its goals through the mechanisms of education, health, and social responsibility wrapped in entertainment, supported by data. This I-Corps project applies a novel software framework to collect data from user engagement (e.g., based on inquiries, content accessed, content created, services performed, etc.) that highlights risk factors affecting children's performance in social and educational settings. This data supplements the P-20 database (P-20 is a state-level, longitudinal, educational, data system intended to capture and analyze student data from preschool to high school, college, and the workforce). The P-20 database focuses on biometrics, and provides a more holistic look at what is happening with children, families, and communities due to the focus on mental health data. This holistic approach provides a multi-risk factorial to identify target communities and specific needs, such as bullying, violence, or substance abuse.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.