Over the last decade the deployment and use of learning analytics has become routine in many universities around the world. The ability to analyse the way students interact with technology has demonstrated significant value for providing insights into student learning and there are now a wide range of uses for learning analytics in education. From use as a diagnostic tool, to a method for prediction, learning analytics in higher education has an emphasis on a wide range of outcome measures, including student retention, progression, attainment, performance, mastery, employability and engagement. In exploring how learning analytics can improve learning practice by transforming the ways we support learning processes, this editorial highlights some of the learning analytics research that has been published in AJET to date.

中文翻译：

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高等教育中学习分析研究的发展领域

在过去的十年中，学习分析的部署和使用已成为世界各地许多大学的日常工作。分析学生与技术互动方式的能力已证明对于提供对学生学习的见解具有重要的价值，现在在教育中学习分析的用途广泛。从用作诊断工具到预测方法，高等教育中的学习分析着重于广泛的成果衡量标准，包括学生的保留，进步，成就，成绩，精通，就业能力和参与度。在探讨学习分析如何通过改变我们支持学习过程的方式来改善学习实践时，这篇社论重点介绍了迄今为止在AJET上发表的一些学习分析研究。