A literature review on learning analytics Online publication date: Mon, 13-Nov-2017
by Shi Jie Lei; Ya Ru Wang; Hong Wang; Ding Hui Sun; Yuan Guang Cao; Zhong Zheng
International Journal of Social Media and Interactive Learning Environments (IJSMILE), Vol. 5, No. 3, 2017
Abstract: Learning analytics (LA), through the collection and analysis of the relevant data of students to assess, predict and optimise teaching and learning, provides a reliable technical support for the implementation of individualised teaching. The purpose of this article is to review currently published research studies focusing on learning analytics. This review focuses on the theoretical and practical studies of LA. We summarise the hitherto accumulated state of knowledge concerning LA: (a) theoretical frameworks and models of LA; (b) practical research including the data collection dimension of LA, tools and methods for data mining and analysis, and the relationship between the learners' data and outcomes and (c) the current application status of LA. The conclusion overall suggests that LA has potential to realise individualised teaching and learning. However, it also encounters some challenges.
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