洛杉矶研究中的隐私:理解领域以改进实践

Olga Viberg, Chantal Mutimukwe, Å. Grönlund
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引用次数: 1

摘要

保护学生隐私对于扩大学习分析(LA)在教育中的应用至关重要。执行不力的隐私保护框架可能会对LA的结果产生负面影响,并破坏对该学科的信任。为了设计和实现隐私保护的模型和工具,我们需要了解隐私本身。为了更好地理解并为开发隐私保护的工具和模型奠定基础,本文考察了洛杉矶学者迄今为止如何定义隐私,以及这些定义如何与定义隐私的既定方法相关联。我们对59篇关于洛杉矶隐私的文章进行了范围审查。在大多数研究中(74%),隐私根本没有定义;6%的人将隐私定义为一种权利,11%的人将其定义为国家,15%的人将其定义为控制,16%的人使用其他方法来解释洛杉矶的隐私。结果表明,有必要在洛杉矶定义隐私,以便能够制定一种负责任的方法来使用学生数据进行分析和决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy in LA Research: Understanding the Field to Improve the Practice
Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop better understanding and build ground for developing tools and models for privacy protection, this paper examines how privacy hitherto has been defined by LA scholars, and how those definitions relate to the established approaches to define privacy. We conducted a scoping review of 59 articles focused on privacy in LA. In most of these studies (74%), privacy was not defined at all; 6% defined privacy as a right, 11% as a state, 15% as control, and 16% used other approaches to explain privacy in LA. The results suggest a need to define privacy in LA to be able to enact a responsible approach to the use of student data for analysis and decision-making.
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