Workshop on Advancing Data Intensive Research in Education

虽然数据分析在商业和娱乐领域的应用已经很成熟，但数据分析在教育领域的应用还需要研究和发展。教育创新没有经济学的推动力，无法产生对社会和技术变革的进化反应，但数据为基础的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。除了通过及时的、对学习和教学具有形成性的诊断数据提高学生成绩的潜力之外，通过数据密集型研究促进快速创新周期，还可以大大加快教育的改进。该奖项旨在表彰一个研讨会，该研讨会汇集了来自行业、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道德和隐私等数据密集型研究中的问题。本次研讨会是两个系列研讨会中的第二个，将侧重于应用科学和工程方面的启发式方法，在教育中阐明数据密集型研究中成功的条件和有效伙伴关系的模式。讲习班结束后，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.