王 楠， 苟江凤
【关 键 词 】：
With the increasing popularity of learning analytics, the privacy ethics related to learning analytics has also been paid attention to. Due to the social development and privacy awareness, the research and practice of learning analysis policies based on privacy ethics in China lag behind. From the perspective of privacy ethics, this study proposes a framework for privacy ethics analysis of learning analysis policies based on a number of existing studies. Then, by adopting the comparative research method, this study selects typical foreign learning analysis policies in recent years as samples to carry out policy analysis from the perspective of privacy ethics. The research finds that privacy ethics is one of the main purposes of the policy-making of learning analytics ; the stakeholders such as data subjects, data objects and partners have different responsibilities in privacy ethics issues. In terms of data application, policies generally focus on data transparency, data anonymity, informed consent, privacy disclosure, access rights and so on. Meanwhile, the minimization of adverse effects and data validity are important factors for the sustainable development of learning analytics.The study believes that the sustainable development of learning analysis can be supported by actively formulating learning analysis policies, distinguishing the responsibilities and rights of stakeholders, establishing a systematic guarantee of data application privacy ethics and avoiding excessive intervention and data bias can support.