研究电子学习中的数据隐私模型

M. Ivanova, G. Grosseck, Carmen Holotescu
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引用次数: 11

摘要

现代网络应用程序和新兴的电子学习智能解决方案收集、处理和存储大量学生的个人数据。什么样的私人数据被用于组织成功的学习,以及这些数据是否受到保护,以防止未经授权的使用,是涉及学生隐私的重要问题。本文提出了一个数据隐私模型,该模型是在对包括电子学习在内的不同在线交易领域的私人信息安全措施进行探索后,在总结学生意见的结果后建立的。研究结果表明,通过学生方面的行动、第三方方面的行动以及适当的教育软件设计,可以实现在线学习中的隐私保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Researching data privacy models in eLearning
The contemporary web applications and emerging intelligent solutions for eLearning collect, process and store a big array of students' personal data. What kind of private data is used for organization of successful learning and are they protected against unauthorized use are important questions concerning students' privacy. The paper presents a data privacy model created after explorations related to the measures for security of private information in different online transactional fields including in the area of eLearning and after results summarization of students' opinion. The findings show that privacy in eLearning could be achieved through a combination of actions from student's side, third parties' side and appropriate design of educational software.
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