教育数据挖掘：大数据时代的教育变革

1、    教育数据挖掘大数据时代的教育变革    四、教育数据挖掘在大数据背景下面临的挑战和愿景国际著名学术期刊自然和科学分别于2008年和2011年推出大数据专栏，在教育领域，哈佛大学、斯坦福大学、耶鲁大学等世界知名大学也启动了教育大数据研究项目。可见，大数据时代已经到来，这并将改变教育的传统形式，在未来具有广阔的应用前景，然而，由于种种限制，部分大数据相关应用还处于探索研究阶段，笔者认为，大数据时代背景下教育数据挖掘的全面应用主要面临两方面的挑战：（1）技术层面的挑战。大数据的应用基础是对海量数据的存储，因而数据处理和分析技术必须跟上信息技术发展的步伐

2、，这就包括计算机的数据处理能力、大型超级计算机算法技术开发等。其次，教育数据挖掘的核心环节是数据采集和问题分析，应用开发这需要面对的就是采集数据技术和学习分析技术的挑战。最后，不得不提的是数据存储系统的兼容性问题。目前，还没有制定教育数据的标准形式，没有统一的数据平台，这就对我们计算机兼容性提出了严峻的挑战。（2）组织管理的挑战。众所周知，大数据的最大特点在于其“混杂性”，这种“混杂性”不仅表现在不同国家、地区和学校之间数据背景的差别，也表现在不同教师和研究人员对数据的期望也千差万别。因此，提升数据使用者的综合素质是我们开展数据挖掘工作的关键。我们已经进入了一个“数据驱动学校，分析变革教育”的

3、大数据时代，大数据必将改变传统教育的形式，“数据驱动决策”已经成为教育发展的潮流趋势。发达国家已经意识到大数据背景下教育的机遇与挑战，将大数据提升到国家战略地位，虽然我国教育数据挖掘工作还处于起步阶段，但是我们相信，只要我们整合现有资源，恰当运用数据挖掘技术优化教育规划和管理、提高教育教学质量，这不仅是必要的，也是一定能够做到的。参考文献：1mayer-schönberger v,cukier k.big data:a revolution that will transform how we live,work,and thinkm.houghton mifflin harcour

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