Collaborative Research: CUE-T: Broadening Participation in Computing via Active Learning Strategies in Multi-Institution Online Synchronous Learning Environments

由于新冠肺炎的流行，大多数美国高等教育机构(IHES)将面授课程过渡到在线课程。这样的过渡为改进计算机领域的本科STEM教育提供了肥沃的研究基础，特别是在扩大代表性不足的学生的参与和改善学习结果方面。在吸引和留住被边缘化的学生学习计算机方面一直存在挑战，特别是来自所有种族和民族的女性以及黑人和西班牙裔男性。该项目旨在探讨在具有学习助理模式的多个机构的在线同步学习环境(OSLEs)的计算机课程中结合包容性和公平的主动学习方法的影响。本项目的主要目标是探讨整合包容性和公平的主动学习方法在计算OSLEs和跨机构共享资源方面对学生的学习结果、参与度和保留率的影响。项目团队计划使用混合方法实验设计来调查四个研究问题，重点是进行专业发展、使用关于学生学习结果和保留率的主动学习方法、跨机构共享课程以及扩大对计算的参与。该项目将在六个机构进行，包括两个西班牙裔服务机构、两所历史上的黑人大学和两所小型大学。这一拟议的项目有可能对学术界和工业界的计算公平产生重大影响。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。

Due to the COVID pandemic, most U.S. Institutions of Higher Education (IHEs) transitioned in-person classes to online classes. Such a transition provides fertile ground for research into improving undergraduate STEM education in computing fields, specifically in broadening participation for underrepresented students and improving learning outcomes. There are ongoing challenges in attracting and retaining marginalized students to computing, specifically women from all races and ethnicities and Black and Hispanic males. This project intends to explore the impact of combining inclusive and equitable active learning approaches in computing courses in online synchronous learning environments (OSLEs) across multiple institutions with a Learning Assistant model. The proposed approach has the potential to improve student learning outcomes and retention rates in computing.This project's primary goal is to explore the impact of integrating inclusive and equitable active learning approaches in computing OSLEs and sharing resources across multiple institutions on students' learning outcomes, engagement, and retention. The project team plans to use a mixed-methods experimental design to investigate four research questions focusing on conducting professional development, using active learning approaches on student learning outcomes and retention rates, sharing courses across institutions, and broadening participation in computing. This project will be conducted at six institutions, including two Hispanic Serving Institutions, two Historically Black Universities, and two small universities. This proposed project has the potential to significantly impact equity in computing in both academia and industry.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.