Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources. Academic institutions which offer open and distance learning programs, such as the Hellenic Open University, can benefit from big data relating to its students’ information and communication systems and the use of modern techniques and tools of big data analytics provided that the student’s right to privacy is not compromised. The balance between data mining and maintaining privacy can be reached through anonymisation methods but on the other hand this approach raises technical problems such as the loss of a certain amount of information found in the original data. Considering the learning process as a framework of interacting roles and factors, the discovery of patterns in that system can be really useful and beneficial firstly for the learners and furthermore, the ability to publish and share these results would be very helpful for the whole academic institution.

中文翻译：

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追求教育数据挖掘模式对学生隐私的威胁

最近的技术进步已导致从各种来源以越来越快的速度收集，存储和分析数据的巨大能力。提供开放和远程学习计划的学术机构，例如希腊开放大学，可以从与学生的信息和通信系统有关的大数据中受益，并且只要学生享有隐私权，就可以使用现代技术和大数据分析工具不妥协。数据挖掘与维护隐私之间的平衡可以通过匿名化方法来实现，但另一方面，这种方法会带来技术问题，例如丢失原始数据中的某些信息。认为学习过程是相互作用的角色和因素的框架，