While universities routinely use student data to monitor and predict student performance, there has been limited engagement with student and staff views, social and ethical issues, policy development, and ethical guidance. We reviewed peer-reviewed and grey-literature articles of 2007 to 2018 describing the perspectives of staff and students in tertiary education on the use of student-generated data in data analytics, including learning analytics. We used an ethics framework to categorize the findings. There was considerable variation but generally low awareness and understanding amongst students and staff about the nature and extent of data collection, data analytics, and use of predictive analytics. Staff and students identified potential benefits but also expressed concerns about misinterpretation of data, constant surveillance, poor transparency, inadequate support, and potential to impede active learning. This review supports the contention that consideration of ethical issues has failed to keep pace with the development of predictive analytics in the tertiary sector.

中文翻译：

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学生和教职员工对高等教育部门大数据使用的看法：对道德问题的范围审查和反思

虽然大学经常使用学生数据来监控和预测学生的表现，但在学生和教职员工的观点、社会和道德问题、政策制定和道德指导方面的参与有限。我们回顾了 2007 年至 2018 年的同行评审和灰色文献文章，这些文章描述了高等教育教职员工和学生在数据分析（包括学习分析）中使用学生生成数据的观点。我们使用道德框架对调查结果进行分类。学生和教职员工对数据收集、数据分析和预测分析的使用的性质和范围存在相当大的差异，但普遍缺乏认识和理解。教职员工和学生发现了潜在的好处，但也对数据的误解、持续监控、透明度差、支持不足以及可能阻碍主动学习。该评论支持这样一种论点，即对道德问题的考虑未能跟上第三产业预测分析的发展步伐。