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Trends in learning analytics practices: a review of higher education institutions

机译：学习分析实践的趋势：高等教育机构的回顾

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摘要

Purpose - This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices. Design/methodology/approach - This research collected literature published in 2011-2016 which reported learning analytics practices from Scopus and Google Scholar, covering a total of 47 institutions, and categorised the information about the relevant institutions and practices. Findings - The results show that most of the institutions were public ones in the USA and the UK of various sizes and offering different levels of study. The learning analytics practices were mainly institution-wide, apart from a small number focusing on selected courses. The purposes of the practices were mainly to enhance the effectiveness of learning support and administration, followed by facilitating students' learning progress. The most common types of data collected for the practices were students' academic behaviours and their background information. Positive outcomes were reported for a majority of the practices, and the most frequent ones being an increase in cost-effectiveness and understanding of students' learning behaviours. Other outcomes included the improvement of student retention, timely feedback and intervention, support for informed decision-making and the provision of personalised assistance to students. Originality/value - The results provide an overview of the use of learning analytics in the higher education sector. They also reveal the trends in learning analytics practices, as well as future research directions.
机译：目的-本文旨在回顾和确定高等教育机构学习分析实践的主要模式和趋势。审查涵盖机构的特征，以及学习分析实践的特征和结果。设计/方法/方法-这项研究收集了2011-2016年间发表的文献，这些文献报道了Scopus和Google Scholar的学习分析实践，涉及总共47个机构，并对有关机构和实践的信息进行了分类。调查结果-结果显示，在美国和英国，大多数机构都是公共机构，规模各异，学习水平也不尽相同。学习分析实践主要是在整个机构范围内进行，除了少数专注于所选课程的实践。练习的目的主要是为了提高学习支持和管理的有效性，其次是促进学生的学习进度。针对实践收集的最常见数据类型是学生的学术行为及其背景信息。据报告，大多数实践都取得了积极成果，而最常见的是成本效益的提高和对学生学习行为的理解。其他成果包括提高学生的保留率，及时的反馈和干预，支持知情决策以及为学生提供个性化帮助。原创性/价值-结果提供了高等教育部门学习分析应用的概述。他们还揭示了学习分析实践的趋势以及未来的研究方向。

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