The learning analytics readiness instrument

M. Oster, Steven Lonn, M. Pistilli, M. Brown
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引用次数: 31

Abstract

Little is known about the processes institutions use when discerning their readiness to implement learning analytics. This study aims to address this gap in the literature by using survey data from the beta version of the Learning Analytics Readiness Instrument (LARI) [1]. Twenty-four institutions were surveyed and 560 respondents participated. Five distinct factors were identified from a factor analysis of the results: Culture; Data Management Expertise; Data Analysis Expertise; Communication and Policy Application; and, Training. Data were analyzed using both the role of those completing the survey and the Carnegie classification of the institutions as lenses. Generally, information technology professionals and institutions classified as Research Universities--Very High research activity had significantly different scores on the identified factors. Working within a framework of organizational learning, this paper details the concept of readiness as a reflective process, as well as how the implementation and application of analytics should be done so with ethical considerations in mind. Limitations of the study, as well as next steps for research in this area, are also discussed.
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学习分析准备工具
人们对机构在确定是否准备实施学习分析时所使用的过程知之甚少。本研究旨在通过使用学习分析准备工具(LARI)测试版的调查数据来解决文献中的这一差距[1]。共有24家机构接受了调查,560名受访者参与了调查。从因子分析结果中确定了五个不同的因素:文化;数据管理专业知识;数据分析专业知识;沟通与政策应用;而且,培训。数据分析使用完成调查的人的角色和卡内基机构分类作为透镜。一般来说,信息技术专业人员和被归类为研究型大学-非常高的研究活动的机构在确定的因素上得分显著不同。在组织学习的框架内工作,本文详细介绍了准备作为一个反思过程的概念,以及分析的实现和应用应该如何在考虑道德因素的情况下完成。本文还讨论了本研究的局限性,以及该领域下一步的研究工作。
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