Synthesis and design workshop: Designing Scalable Advanced Learning Ecosystems

美国目前正处于高等教育的十字路口，获得高质量的中学后教育是进入中产阶级的先决条件，但负担这种教育的能力越来越有限。格鲁吉亚理工学院提出了可扩展的高级学习生态系统来解决这种不匹配。建立在成功的在线教育计划，提供硕士？格鲁吉亚理工学院拥有计算机科学和分析学学位，为高等教育管理人员和研究人员举办了一个研讨会，以建立可扩展的高级学习生态系统的组成部分，这些系统可以应用于各学院和大学。可扩展的高级学习生态系统的目标是创造教育体验，可以扩展到不断增长的学生群体，同时提供个性化的关注，通常是不可扩展的个人，面对面的教学和建议。技术咨询佐治亚理工学院假设，随着对高等教育的需求不断增长，但教授，顾问和预算供应有限，以满足这种需求，可扩展的高级学习生态系统可用于为大量学生提供个性化和定制。人类活动和专业知识被用来指导这个生态系统的创新，但日常操作是机器驱动的。这些创新包括：个性化学习系统，使用人工智能和机器学习为每个学生建立定制的教育计划;智能辅导系统，根据学生的表现修改材料的演示和顺序;数据挖掘和学习分析，提取有用和可操作的信息，以了解学生对学习资源和成果的使用;可扩展的在线环境，提供高质量，高参与度的学习体验;沉浸式学习环境，模拟真实的或想象的世界中的物理存在，在这些世界上覆盖内容，并合并真实的和虚拟世界，以产生新的学习机会。该研讨会于2018年11月29日和30日在亚特兰大市中心格鲁吉亚理工学院校园的全球学习中心举行，参与机构由提交的描述每个机构的提案选出。你对可扩展的高级学习生态系统和机构感兴趣吗？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 U.S. is currently at a crossroads in higher education where access to quality post-secondary education is a prerequisite for entry into the middle class but the ability to afford such an education is becoming increasingly limited. Georgia Tech proposes the Scalable Advanced Learning Ecosystem to address this mismatch. Building on successful online education programs that have offered Master?s degrees in computer science and analytics, Georgia Tech hosts a workshop for higher education administrators and researchers to establish components of Scalable Advanced Learning Ecosystems that can be applied across colleges and universities. The goal of Scalable Advanced Learning Ecosystems is to create educational experiences that can be scaled to growing populations of students while providing the personalized attention that has typically been the domain of unscalable individual, face-to-face teaching and advising.Technical descriptionGeorgia Tech hypothesizes that with growing demand for higher education, but with a limited supply of professors, advisors, and budgets to meet such demand, Scalable Advanced Learning Ecosystems can be used to provide personalization and customization for large populations of students. Human activity and expertise are used to guide the creation of this ecosystem's innovations, but day-to-day operations are machine-driven. The innovations include: Personalized Learning Systems that use artificial intelligence and machine learning to establish customized educational plans for each student; Intelligent Tutoring Systems that modify the presentation and sequence of materials in response to student performance; Data Mining and Learning Analytics that extract useful and actionable information to understand student uses of learning resources and outcomes; Scalable Online Environments that deliver high-quality, high-engagement learning experiences; and Immersive Learning Environments that simulate a physical presence in real or imagined worlds, overlay content on those worlds, and merge real and virtual worlds to produce new learning opportunities. The workshop is held on November 29 and 30, 2018 at the Global Learning Center on the Georgia Tech campus in Midtown Atlanta, and participating institutions are selected by proposals submitted that describe each institution?s interest in Scalable Advanced Learning Ecosystems and the institution?s commitment to action to improve educational access.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.