Workshop on Advancing Data Intensive Research in Education

虽然商业和娱乐的数据分析已经很成熟，但数据分析在教育中的应用需要研究和开发。教育创新不具有经济学对社会和技术变化产生进化反应的驱动力，但数据信息教学方法为改变美国的教学、学习和学校教育提供了巨大的希望。除了通过形成学习和教学的及时诊断数据来提高学生结果的潜力之外，还可以通过促进快速创新周期的数据密集型研究来大幅加快教育改进。这个奖项是为了一个研讨会，该研讨会汇集了来自工业界、非营利组织、学术界和政府的教育研究人员，以解决从学习分析到伦理和隐私等数据密集型研究中的问题。这个研讨会是一系列两个研讨会中的第二个，将专注于应用科学和工程的启发式方法，在教育中阐明在数据密集型研究中成功的条件和有效合作的模式。讲习班结束后，结果将根据讲习班的成果以正式卷的形式出版。

While data analytics for business and entertainment have become well established, the application of data analytics to education needs research and development. Educational innovation does not have the driving force of economics generating evolutionary responses to societal and technological change, yet data-informed instructional methods offer tremendous promise for transforming American teaching, learning, and schooling. Beyond the potential to enhance student outcomes through just-in-time, diagnostic data that is formative for learning and instruction, educational improvements could be substantially accelerated through data-intensive research fostering rapid cycles of innovation. This award is for a workshop bringing together education researchers from industry, non-profits, academe, and government to address issues in data intensive research ranging from learning analytics to ethics and privacy.This workshop, the second in a series of two, will focus on applying heuristics from the sciences and engineering to articulate in education the conditions for success and models for effective partnerships in data intensive research. Following the workshop, the results will be published in a formal volume based on the workshop outcomes.