大数据学习分析的安全与隐私保护研究

Research on Security and Privacy Protection of Big Data Learning Analytics

随着大数据时代的来临,学习分析技术成为了教育信息化的新浪潮,其涉及的伦理道德问题尤其是学习分析过程中引发的一系列数据安全与隐私问题也成为了教育领域研究的热点。为应对隐私泄露、访问权限模糊、数据可信性受威胁等问题,文章以技术为视角,从数据收集、数据分析和数据解释等三方面构建了数据安全与隐私保护框架,并提出了相关的数据安全与隐私保护策略,以期提高利用学习分析技术进行大数据研究的成效,实现学习分析技术挖掘教育大数据潜在价值的预期目标,充分发挥大数据学习分析的研究价值。

With the advent of big data era, learning analytics has become the new wave of education information. The involved ethical and moral issues especially the data security and privacy issues caused during the process of analytics. To deal with the problems of privacy disclosure, fuzzy access permission and threatened data credibility, this paper has built data security and privacy protection framework from data collection, data analysis and data interpretation. Meanwhile, the relevant strategies of data security and privacy protection were also proposed, in order to improve the effect of using learning analytics to conduct big data research, achieve the expected target of employing learning analytics to tap big data＇s e potential value, and fully function the research value of big data learning analytics.