Workshop on Advancing Data Intensive Research in Education

虽然商业和娱乐数据分析已经很成熟，但数据分析在教育中的应用还需要研究和开发。教育创新不具有经济学的驱动力，能够对社会和技术变革产生进化反应，但基于数据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。除了通过有助于学习和教学的及时诊断数据提高学生成绩之外，还可以通过促进快速创新周期的数据密集型研究大大加速教育改进。该奖项旨在举办一个研讨会，汇集来自行业、非营利组织、学术界和政府的教育研究人员，讨论从学习分析到道德和隐私等数据密集型研究中的问题。该研讨会是系列研讨会中的第二个，重点是应用科学和工程的启发法，在教育中阐明数据密集型研究的成功条件和有效合作伙伴关系的模式。研讨会结束后，研究结果将根据研讨会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.