In this position paper, I argue that the separation of learning analytics, teaching analytics and other mechanisms for viewing the relationship between electronic trace data and performance will be enhanced by a perspective that takes related work in other domains into account. I present a few examples from domains I have developed statistical and visual analytics for as exemplars of how a research program might accomplish the fluid transfer of analytics research across domains in a way that impacts teaching and learning. I begin by characterizing some of the limitations I see in learning analytics generally, and which I argue remain salient issues in the development of teaching analytics. In both cases, the goal is to advance learning.
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Group Informatics: A Multi-Domain Perspective on the Development of Teaching Analytics