NSF CONVERGENCE ACCELERATOR: Improving Online Education Through Technology, Research, And Data

COVID-19疫情大幅加速了在线教育技术的发展。数字平台的用户增长了10倍。尽管如此，目前许多教育技术的教学方法仍然薄弱，它们没有利用学习的基础研究，没有持续改进的文化，满足不同学习者的需求，也没有利用计算机不断增长的能力。本次会议将围绕潜在的用例和原型提供可交付成果的想法，并为未来跨学科的合作奠定基础，以研究，开发和完善有效和公平的远程教育技术。该项目将汇集教育，认知科学和技术等行业和领域的专家，以确定提供高质量在线教育的障碍和解决方案。这些合作将为教育技术设计提供最佳实践，并产生未来的开发和测试。利用AI/ML或平台设计的新模式等主题将是本次会议讨论的关键组成部分，同时沿着将这些新方法应用于在线学习可以产生哪些类型的交付成果。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

The COVID-19 pandemic has exponentially accelerated the growth of online educational technology. Digital platforms are seeing a 10 fold increase in users. Still, many current educational technologies have weak approaches to instruction, and they do not leverage basic research on learning, have a culture of continuous improvement, meet the needs of diverse learners, or leverage the growing power of computers. This conference will provide ideas for deliverables around potential use-cases and prototypes as well as lay the groundwork for future collaborations across a variety of disciplines to research, develop, and refine effective and equitable remote educational technologies.This project will bring together experts in industry and fields such as education, cognitive science, and technology to identify barriers and solutions to delivering high-quality online education. These collaborations will inform best practices in educational technology design and generate future development and testing. Topics such leveraging AI/ML or new modes of platform design will be key components of the discussions that take place at this conference, along with a look at what types deliverables can be derived from applying these new approaches to online learning.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.