More Than Figures on Your Laptop: (Dis)trustful Implementation of Learning Analytics

Yi-Shan Tsai, A. Whitelock-Wainwright, D. Gašević
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引用次数: 14

Abstract

The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and students at a large UK university. Surveys and focus groups were conducted to explore participant expectations of LA. The observed distrust is broadly attributed to three areas: the subjective nature of numbers, the fear of power diminution, and approaches to design and implementation of LA. The paper highlights areas to maintain existing trust with policy procedures and areas to cultivate trust by engaging with tensions arising from the social process of LA.
不仅仅是笔记本电脑上的数字:学习分析的可信实现
在复杂的教育系统中采用学习分析(LA)是与社会文化和技术挑战交织在一起的,这些挑战导致了对数据的不信任和扩展LA的困难。本文提出了一项研究,通过与英国一所大型大学的教职员工和学生进行一系列磋商,调查了对值得信赖的洛杉矶的不信任和威胁领域。通过调查和焦点小组探讨参与者对洛杉矶的期望。观察到的不信任主要归因于三个方面:数字的主观性质,对权力减少的恐惧,以及设计和实现LA的方法。本文强调了通过政策程序维持现有信任的领域,以及通过处理洛杉矶社会进程中产生的紧张局势来培养信任的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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