Conference: Transforming Educational Technology Through Convergence

会议：通过融合改变教育技术

• 批准号: 2231524
• 负责人: Ryan Baker
• 金额: $ 10万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231524&HistoricalAwards=false
• 关键词: Conference; Transforming; Educational; Technology; Through

The Transforming Educational Technology Through Convergence Conference will convene researchers, funders, developers, and practitioners online to discuss the future of educational technology. In order to maximize impact, the conference will focus on three tracks chosen for both their importance to overall student success and their promise as targets of research and development. These tracks are: course-embedded assessment, middle school math, and data science education.The learning sciences have advanced considerably, producing significant insights around, for example, spaced learning, social and emotional learning, active learning, and the value of formative feedback. However, learning tools rarely fully integrate these insights. Nor do developers typically build tools in a robust research environment that encourages experimentation, rigorous evaluation, and consistent, iterative improvement. Convergence research and collaboration can help better integrate research into thedevelopment process while leveraging technological development in, for example, learning analytics and natural language processing. This conference seeks to enable the creation of a Convergence Accelerator track that facilitates the convergence research and collaboration that is required to transform educational technology.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.

通过融合转变教育技术会议将召集研究人员、资助者、开发人员和实践者在线讨论教育技术的未来。为了最大限度地发挥影响，会议将重点关注三个方面，因为它们对学生整体成功的重要性以及它们作为研究和开发目标的前景。这些轨道是：课程嵌入式评估、中学数学和数据科学教育。学习科学已经取得了长足的进步，在间隔学习、社交和情感学习、主动学习以及形成性反馈的价值等方面产生了重要的见解。然而，学习工具很少完全集成这些见解。开发人员通常也不会在一个鼓励实验、严格评估和一致的、迭代改进的健壮的研究环境中构建工具。融合研究和协作可以帮助更好地将研究整合到开发过程中，同时利用技术发展，例如学习分析和自然语言处理。本次会议旨在建立一个融合加速器轨道，以促进转化教育技术所需的融合研究和合作。该奖项反映了美国国家科学基金会的法定使命，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。