Learning Analytics is the development and application of data science methods to the distinct characteristics, needs, and concerns of educational contexts and the data streams they generate for the purpose of better understanding and supporting learning processes and outcomes (

Learning Analytics is the development and application of data science methods to the distinct characteristics, needs, and concerns of educational contexts and the data streams they generate. The goal is to better understand and support learning processes and outcomes through both short‐cycles improvements to educational practice and long‐cycle improvements to the underlying knowledge base. This chapter has overviewed the distinct character of the data used in learning analytics, the kinds of analyses applied, and the pedagogical uses to which the analytics are put; together these characteristics highlight why learning analytics is seen as an especially promising technology to improve teaching and learning. To make this vision a reality, universities will need to be proactive in building up the requisite technical and policy infrastructure.

It has been almost a decade since the emergence of learning analytics, a bricolage field of research and practice that focuses on understanding and optimising learning and learning environments

Twenty-five students were enrolled in the class: 23 females and 2 males. Twenty-four students had WeChat already installed and were using it on a daily basis for social interactions. Twenty students were from mainland China, 4 were from Hong Kong, and 1 was from the Philippines who had been working in a local university for more than 3 years. No one encountered difficulties in joining the group or using WeChat. All students agreed to participate in the study.

由此可见，教育信息化的创新主要集中在教育理论创新、基础设施创新、学习方式创新、保障机制创新等方面。这一系列重大创新要坚持以

我发现一个总被别人说好的人往往并不是个成功者，因为一个真正达成目标的人，真正获得幸福的人，甚至真正拥有满足的人，在这个社会中极少出现。由此看来，有关自己一生的问题，真需要交由社会大众去决定吗？